Friday, May 13, 2016

Neural Networks, Volume 78 , Pages 1-120, June 2016

 Special Issue on "Neural Network Learning in Big Data", Edited by Asim Roy, Nikola Kasabov, Irwin King and Kumar Venayagamoorthy

1. Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications
Author(s): Nikola Kasabov, Nathan Matthew Scott, Enmei Tu, Stefan Marks, Neelava Sengupta, Elisa Capecci, Muhaini Othman, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio Hartono, Josafath Israel Espinosa-Ramos, Lei Zhou, Fahad Bashir Alvi, Grace Wang, Denise Taylor, Valery Feigin, Sergei Gulyaev, Mahmoud Mahmoud, Zeng-Guang Hou, Jie Yang
Pages: 1-14

2. Noise-enhanced convolutional neural networks
Author(s): Kartik Audhkhasi, Osonde Osoba, Bart Kosko
Pages: 15-23

3. Hadoop neural network for parallel and distributed feature selection
Author(s): Victoria J. Hodge, Simon O’Keefe, Jim Austin
Pages: 24-35

4. A new Growing Neural Gas for clustering data streams
Author(s): Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
Pages: 36-50

5. Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation
Author(s): Jun Wang, Zhaohong Deng, Xiaoqing Luo, Yizhang Jiang, Shitong Wang
Pages: 51-64

6. A decentralized training algorithm for Echo State Networks in distributed big data applications
Author(s): Simone Scardapane, Dianhui Wang, Massimo Panella
Pages: 65-74

7. Smart sampling and incremental function learning for very large high dimensional data
Author(s): Diego G. Loyola R, Mattia Pedergnana, Sebastián Gimeno García
Pages: 75-87

8. Least square neural network model of the crude oil blending process
Author(s): José de Jesús Rubio
Pages: 88-96

9. Machine learning based sample extraction for automatic speech recognition using dialectal Assamese speech
Author(s): Swapna Agarwalla, Kandarpa Kumar Sarma
Pages: 97-111

10. Learning to decode human emotions with Echo State Networks
Author(s): Lachezar Bozhkov, Petia Koprinkova-Hristova, Petia Georgieva
Pages: 112-119

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