Conference paper deadline: KES IIMSS 2013

The deadline for submitting papers to the 6th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS) 2013 is 6 January 2013. This conference will be held in Sesimbra, Portugal, 26 - 28 June, 2013.

Open source textbook - Chapter 1 outline

Following on from my post last week about the updated outline for my open-source textbook "Intelligent Information Systems", I've made the outline of Chapter 1 "Introduction to Intelligent Information Systems" available online.

As always, comments and suggestions are most welcome!

Reminder: conference paper deadline: KES-IDT 2013

A reminder that the deadline for submitting papers to the 5th International Conference on Intelligent Decision Technologies (KES-IDT) is 6 January 2013. This conference will be held in Sesimbra, Portugal, 26-28 June 2013.

Reminder: paper submission deadline for Fuzz-IEEE 2013

A reminder that the deadline for submitting papers to the IEEE Conference on Fuzzy Systems (Fuzz-IEEE) 2013 is 5 January, 2013. This conference will be held in Hyderabad, India, 7-10 July, 2013.

Important dates for IJCNN 2013

Some important dates for the International Joint Conference on Neural Networks (IJCNN) 2013. The following are all due by December 15, 2012:

• Tutorials proposals
• Workshop proposals
• Panel proposals
• Special sessions proposals

For more information, see the IJCNN website: www.ijcnn2013.org.

An experiment in open-source textbooks 2

In an earlier post, I described how I'm working on an open source textbook about Intelligent Information Systems.

While progress has been slower than I would have liked (mainly due to my relocating permanently to my native New Zealand), I have been able to digest the suggestions made in the comments on my previous post. As a result, I've made the second outline of this textbook available here.

I've also investigated several different licensing schemes, and it looks like I'll be going with one of the Creative Commons licenses. I'm looking at making the LaTeX source and PDF files freely available online, while retaining the print rights.

Any comments on the outline, or my licensing plan, will be gratefully received!

Reminder: paper submission deadline for EvoStar 2013

A reminder that the paper submission deadline for EvoStar 2013 is 1 November, 2012. This conference will be held in Vienna, Austria, 3-5 April, 2013.

The Problem with Academic Journals 7

The following quote was in an email I received from the editor of a certain prestigious general science journal:

"Your manuscript is now undergoing an initial screening to determine whether it will be sent for in-depth review. We will notify the corresponding author of our decision as soon as possible."

That really annoyed me. It annoyed me because it is not the job of the editor to screen submissions. Sure, it is appropriate for them to check that the paper is formatted correctly, that there aren't big sections of it missing, and that it fits the theme of the journal (which is not the case with general science journals like the journal this paper was submitted to). The kind of screening this editor is talking about it a kind of pre-peer review, where the editor is determining whether the paper is worthy of being considered by their august publication. It is, in fact, a rather extreme form of academic arrogance.

Having a paper rejected by peer review is one thing, but being rejected because one person doesn't think it's worthy enough? So many of my colleagues have had so many perfectly good papers rejected by editors without going to peer review. The purpose of peer review is to find errors in the science (and have no doubt about it, computational intelligence is a science). If there are no errors in the science - that is, there are no discernible errors in methodology or interpretation of results - then the paper should be published. Even a rejection is useful, as it allows the authors to improve their research. But editorial rejections eliminate even that, they make the entire process of submitting to that journal a waste of time.

As I've said many times before, the solution is to go to open access journals. Peer review will help catch the errors, and the people reading the papers (and there will be a lot more of them reading open access papers than subscription-only papers) will find the errors the peer reviewers missed. But arrogant editors from expensive subscription-only journals will soon find themselves presiding over a shrinking author base.

IEEE Transactions on Autonomous Mental Development: Volume 4, Issue 3, 2012

1. Editorial: Impact Factor and Outstanding Paper Awards
Zhang, Z.
Page(s): 189
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298016

2. Guest Editorial: Biologically Inspired Human–Robot Interactions—Developing More Natural Ways to Communicate with our Machines
Harris, C.; Krichmar, L.; Siegelmann, T.; Wagatsuma, H
Page(s): 190 - 191
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298018

3. Long Summer Days: Grounded Learning of Words for the Uneven Cycles of Real World Events
Heath, S.; Schulz, R.; Ball, D.; Wiles, J.
Page(s): 192 - 203
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6236014

4. Learning Through Imitation: a Biological Approach to Robotics
Chersi, F.
Page(s): 204 - 214
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6203559

5. Context-Based Bayesian Intent Recognition
Kelley, R.; Tavakkoli, A.; King, C.; Ambardekar, A.; Nicolescu, M.; Nicolescu, M.
Page(s): 215 - 225
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6276240

6. Reciprocity and Retaliation in Social Games With Adaptive Agents
Asher, D. E.; Zaldivar, A.; Barton, B.; Brewer, A. A.; Krichmar, J. L.
Page(s): 226 - 238
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212318

7. Towards a Platform-Independent Cooperative Human Robot Interaction System: III An Architecture for Learning and Executing Actions and Shared Plans
Lallee, S.; Pattacini, U.; Lemaignan, S.; Lenz, A.; Melhuish, C.; Natale, L.; Skachek, S.; Hamann, K.; Steinwender, J.; Sisbot, E. A.; Metta, G.; Guitton, J.; Alami, R.; Warnier, M.; Pipe, T.; Warneken, F.; Dominey, P. F.
Page(s): 239 - 253
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204326

IEEE Transactions on Computational Intelligence and AI in Games: Volume 4, Issue 3, 2012

1. Guest Editorial: Special Issue on Computational Aesthetics in Games
Browne, C.; Yannakakis, G. N.; Colton, S.
Page(s): 149 - 151
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6299016

2. Unsupervised Modeling of Player Style With LDA
Gow, J.; Baumgarten, R.; Cairns, P.; Colton, S.; Miller, P.
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269992

3. Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online
Delalleau, O.; Contal, E.; Thibodeau-Laufer, E.; Ferrari, R. C.; Bengio, Y.; Zhang, F.
Page(s): 167 - 177
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6156756

4. Evaluating the Aesthetics of Endgame Studies: A Computational Model of Human Aesthetic Perception
Iqbal, A.; van der Heijden, H.; Guid, M.; Makhmali, A.
Page(s): 178 - 191
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6177652

5. Experience-Driven Procedural Music Generation for Games
Plans, D.; Morelli, D.
Page(s): 192 - 198
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6266725

6. Continuous Recognition of Player's Affective Body Expression as Dynamic Quality of Aesthetic Experience
Savva, N.; Scarinzi, A.; Bianchi-Berthouze, N.
Page(s): 199 - 212
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212341

7. Adapting Models of Visual Aesthetics for Personalized Content Creation
Liapis, A.; Yannakakis, G. N.; Togelius, J.
Page(s): 213 - 228
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6185648

8. Elegance in Game Design
Browne, C.
Page(s): 229 - 240
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6194295

Reminder: paper submission deadline for ICAISC 2013

A reminder that the deadline for submitting papers to the International Conference on Artificial Intelligence and Soft Computing (ICAISC) 2013 is November 20, 2012. This conference will be held in Zakopane, Poland, June 9-13, 2013.

On Being a Post-doc

After completing a PhD, most people who wish to stay in academia end up doing one or more post-doctoral positions. Experience as a post-doc is a prerequisite for a career in scientific research, as it is during your post-doc career that you get exposure to ideas and techniques outside of your PhD, and work with a wider range of people than you did during your PhD. The chances of going into a permanent academic position, without doing at least one post-doc, are very slim (most people who manage to do this tend to wind up in the same department they did their PhD in). I've done three post-docs, at Lincoln University in New Zealand, at the University of Sydney, and the University of Adelaide, both of which are in Australia.

So, what's it like being a post-doctoral fellow?

Basically, it sucks. Most post-docs are for two or three years. This term is fixed as the position is usually tied to a particular research grant, which is itself of fixed duration. This means that even if you do extremely well in your research, there is no guarantee of further employment after the contract ends. This means that as a post-doc, you will probably be changing jobs and cities every two years. If you're young and single, that's not entirely a bad thing: travelling and living in different places broadens your mind, can build a wide network of friendships and helps you appreciate different ways of life. Things get harder if you are a couple, as your partner also needs to find work in your new home. If you have even one child, it's a nightmare: you need to find a new school, your child faces the awful wrench of leaving their friends behind, if they're in after-school activities they need to be organised all over again, and if they have even minor health issues, finding adequate care for them can be very challenging. The stress that this can place on your relationship is enormous. In short, being a post-doc is a young (single) person's game.

If your post-doc is tied to a grant, then you will be working on someone else's project. In other words, you'll be working on something that is interesting to someone else (the grant holder). This also means that the outputs you produce (that is, papers) will be of benefit primarily to the grant holder rather than you.

While you should concentrate on doing the work you are paid to do, if you want to move up the academic ladder, then you also need to demonstrate the ability to do independent research. So, in addition to working a full-time job, you're also working part-time on your own research programme.

On top of the above are the dangers of any workplace: while most post-doc supervisors are good and kind people, they get their positions by being good researchers (or occasionally good politicians), not good managers. In the worst case, you might end up working for a narcissistic sociopath. Doing a post-doc with the wrong supervisor (or supervisors) can make your life a living hell. Sociopaths can be pretty hard to spot, too.

My experience is that it can take six months or more to find a new position, which means that shortly after starting a post-doc, you need to start looking for another. If your career is a chess game, then you need to start getting your pieces into place sooner rather than later.

To sum up, being a post-doctoral fellow means a semi-itinerant life of uncertainty and upheaval, serving the research needs of others, while also planning a future career that might not happen.

Was it all worth it for me? While there are many things I would do differently if I had the chance to do it all again, I don't want to live my life in regret: the things in my life, the good and the bad, the joy and the hurt, have all made me the person I am. But I do regret the hurt it has caused my family. Being a post-doc is hard on everyone if you have a family. It's not all bad news, though, and in a future post I'll be discussing ways in which you can make your post-doc career successful.

IEEE Transactions on Neural Networks and Learning Systems: Volume 23, Issue 10, October 2012

1. Title: Silicon-Based Dynamic Synapse With Depressing Response
Authors: Thomas Dowrick; Steve Hall; Liam J. McDaid
Page(s): 1513 - 1525
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6287129


2. Title: Self-Organizing Spiking Neural Model for Learning Fault-Tolerant Spatio-Motor Transformations
Authors: Narayan Srinivasa; Youngkwan Cho
Page(s): 1526 - 1538
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248739


3. Title: Learning From ISS-Modular Adaptive NN Control of Nonlinear Strict-Feedback Systems
Authors: Cong Wang; Min Wang; Tengfei Liu; David. J. Hill
Page(s): 1539 - 1550
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248726


4. Title: Synchronization Error Estimation and Controller Design for Delayed Lur'e Systems With Parameter Mismatches
Authors: Wangli He; Feng Qian; Qing-Long Han; Jinde Cao
Page(s): 1551 - 1563
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248725&tag=1


5. Title: Reproducing Kernel Hilbert Spaces With Odd Kernels in Price Prediction
Authors: Miloš Krejník; Anton Tyutin
Page(s): 1564 - 1573
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6253266


6. Title: Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting
Authors: Wenwen Wang; Budhitama Subagdja; Ah-Hwee Tan; Janusz A. Starzyk
Page(s): 1574 - 1586
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6261552


7. Title: A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle
Authors: Praisan Padungweang; Chidchanok Lursinsap; Khamron Sunat
Page(s): 1587 - 1600
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6263306


8. Title: Nonnegative Blind Source Separation by Sparse Component Analysis Based on Determinant Measure
Authors: Zuyuan Yang; Yong Xiang; Shengli Xie; Shuxue Ding; Yue Rong
Page(s): 1601 - 1610
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6263307


9. Title: Multiclass Feature Selection With Kernel Gram-Matrix-Based Criteria
Authors: Mathieu Ramona; Gaël Richard; Bertrand David
Page(s): 1611 - 1623
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6264104


10. Title: Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition
Authors: Stephan Liwicki; Stefanos Zafeiriou; Georgios Tzimiropoulos; Maja Pantic
Page(s): 1624 - 1636
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269106


11. Title: Feedback Control by Online Learning an Inverse Model
Authors: Tim Waegeman; Francis wyffels; Benjamin Schrauwen
Page(s): 1637 - 1648
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269107


12. Title: Symbolic Representation of Recurrent Neural Network Dynamics
Authors: Thuan Q. Huynh; James A. Reggia
Page(s): 1649 - 1658
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269105


13. Title: Inphase and Antiphase Synchronization in a Delay-Coupled System With Applications to a Delay-Coupled FitzHugh–Nagumo System
Authors: Yongli Song; Jian Xu
Page(s): 1659 - 1670
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269931


14. Title: Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks
Authors: Michael Fairbank; Eduardo Alonso; Danil Prokhorov
Page(s): 1671 - 1676
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239600

Reminder: paper submission deadline for IEEE-SSCI 2013

A reminder that the deadline for the IEEE Symposium Series in Computational Intelligence 2013 is 10 October 2012. This series of symposia will be held in Singapore 16-19 April 2013.

Reminder: paper submission deadline for ICANNGA 2013

A reminder that the paper submission deadline for the International Conference on Adaptive and Natural Computing Algorithms (ICANNGA) 2013 is 8 October, 2013. This conference will be held in Lausanne, Switzerland, April 4-6, 2013.

Deadline Extension - IEEE CIS Facebook Photo Contest

This is cross-posted from the IEEE Computational Intelligence Society blog.

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Due to many requests, we have decided to extend the deadline of the Facebook Photo Contest to September 30, 2012.

There will be three winners, each of them will get a free CIS membership for 2013. The best out of the three winners will get a FREE IPAD2. More information can be found at http://www.tinyurl.com/cisfb2012. If you have any questions, please send a email to cis.socialmedia@gmail.com.  

Guest post: Write Right First Time with Brown's Eight Questions

This is a guest post by Stephen G. Matthews. Stephen is a PhD student in the Centre for Computational Intelligence at De Montfort University, UK.

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Write Right First Time with Brown's Eight Questions

I will share a method that I have found to be really useful. It's short, simple and incredibly effective: Brown's Eight Questions.

Robert Brown introduced Brown's Eight Questions (Brown, 1994/95) as part of an action learning set for improving writing. An action learning set is a group of people (ideally 5) who meet up to discuss common problems and solutions. Brown suggests applying this to writing for publication. An action learning set meets up and each member reviews each other's manuscripts face to face. I will focus on Brown's Eight Questions, but an action learning set for writing is well worth reading about in Brown's article.

So what is Brown's Eight Questions? Well, it is a set of eight questions designed to make an author think about writing before actually writing a first draft. Brown's idea, which was motivated by his experiences as a writer, reviewer and editor, comes from his observation that writers often focus on correcting a manuscript once it is written, rather than planning the manuscript before writing.

Brown’s Eight Questions

1. Who are the intended readers? - list 3 to 5 of them by name;
2. What did you do? (limit - 50 words)
3. Why did you do it? (limit - 50 words)
4. What happened? (limit - 50 words)
5. What do the results mean in theory? (limit - 50 words)
6. What do the results mean in practice? (limit - 50 words)
7. What is the key benefit for your readers? (limit - 25 words)
8. What remains unresolved? (no word limit)

As you can see these are simple questions and the word limit ensures answers are succinct. Brown's Eight Questions can help authors to gain clarity about their manuscript and also support the reader's understanding.

Brown's Eight Questions helps me to structure my thoughts, arguments and the message of a manuscript. It really is a useful method that can be applied to any form of writing such as journal articles, theses and reports. If you have not used it then give it a go!

Brown, Robert (1994/95) “Write Right First Time”, Literati Newsline Special Issue: 1-8. (Available from http://web.archive.org/web/19971014014626/http://www.mcb.co.uk/literati/write.htm)

Evolving Systems Volume 3 Issue 3

1. A dynamic split-and-merge approach for evolving cluster models
Edwin Lughofer
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNM.3vVy.bW89MQ%5f%5fDGVOFSD0

2. Online variational learning of finite Dirichlet mixture models
Wentao Fan and Nizar Bouguila
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNS.3vVy.bW89MQ%5f%5fDHJKFSJ0

3. Adaptive complex event processing for harmful situation detection
Jean-René Coffi, Christophe Marsala and Nicolas Museux
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNY.3vVy.bW89MQ%5f%5fDHdGFSP0

4. Sliding mode incremental learning algorithm for interval type-2 Takagi–Sugeno–Kang fuzzy neural networks
Sevil Ahmed, Nikola Shakev, Andon Topalov, Kostadin Shiev and Okyay Kaynak
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNe.3vVy.bW89MQ%5f%5fDJEeFSb0

5. Negotiating in dynamic environments: time-efficient automated negotiations by means of combinatorial auctions
Fabian Lang and Andreas Fink
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNk.3vVy.bW89MQ%5f%5fDJYaFTB0

Posting Hiatus

Next week my family and I will be moving away from Adelaide and leaving Australia permanently. We are moving so that I can take up a new, permanent, academic position. Since this move will involve a fair amount of chaos and interrupted Internet access (at least until we find a house and get the Internet connected again), posting to this blog will be quite sporadic.

IEEE Transactions on Neural Networks and Learning Systems: Volume 23, Issue 9, September 2012

1. Adaptive Pinning Control of Deteriorated Nonlinear Coupling Networks With Circuit Realization
Xiao-Zheng Jin; Guang-Hong Yang; Wei-Wei Che
Page(s): 1345 - 1355
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6222060

2. Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines
Siamak Mehrkanoon; Tillmann Falck; Johan A. K. Suykens
Page(s): 1356 - 1367
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224185

3. Exponential Synchronization of Neural Networks With Discrete and Distributed Delays Under Time-Varying Sampling
Zheng-Guang Wu; Peng Shi; Hongye Su; Jian Chu
Page(s): 1368 - 1376
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6227362

4. Convergence and Rate Analysis of Neural Networks for Sparse Approximation
Aurèle Balavoine; Justin Romberg; Christopher J. Rozell
Page(s): 1377 - 1389
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6227360

5. In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines
Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella
Page(s): 1390 - 1406
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6228541

6. Robust Exponential Stability of Uncertain Stochastic Neural Networks With Distributed Delays and Reaction-Diffusions
Jianping Zhou; Shengyuan Xu; Baoyong Zhang; Yun Zou; Hao Shen
Page(s): 1407 - 1416
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6228542

7. Online Kernel-Based Learning for Task-Space Tracking Robot Control
Duy Nguyen-Tuong; Jan Peters
Page(s): 1417 - 1425
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6230657

8. Memristor Bridge Synapse-Based Neural Network and Its Learning
Shyam Prasad Adhikari; Changju Yang; Hyongsuk Kim; Leon O. Chua
Page(s): 1426 - 1435
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6232461

9. Efficient Sparse Modeling With Automatic Feature Grouping
Leon Wenliang Zhong; James T. Kwok
Page(s): 1436 - 1447
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238378

10. Hierarchical Approach for Multiscale Support Vector Regression
Francesco Bellocchio; Stefano Ferrari; Vincenzo Piuri; Nunzio Alberto Borghese
Page(s): 1448 - 1460
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238377

11. Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes
Chao Zhang; Wei Bian; Dacheng Tao; Weisi Lin
Page(s): 1461 - 1472
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239601

12. Limit Set Dichotomy and Multistability for a Class of Cooperative Neural Networks With Delays
Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni
Page(s): 1473 - 1485
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6241435

13. Adaptive Visual and Auditory Map Alignment in Barn Owl Superior Colliculus and Its Neuromorphic Implementation
Juan Huo; Alan Murray; Dongqing Wei
Page(s): 1486 - 1497
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6255791

14. Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness
Yimin Yang; Yaonan Wang; Xiaofang Yuan
Page(s): 1498 - 1505
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6222007

15. Enhancing Weak Signal Transmission Through a Feedforward Network
Xiaoming Liang; Liang Zhao; Zonghua Liu
Page(s): 1506 - 1512
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6227359