Connectionists: NEURAL NETWORKS, June 2016

[DeLiang Wang]

Neural Networks - Volume 78, June 2016

Special Issue on "Neural Network Learning in Big Data"

http://www.journals.elsevier.com/neural-networks


Evolving spatio-temporal data machines based on the NeuCube neuromorphic 
framework: Design methodology and selected applications
Nikola Kasabov, et al.

Noise-enhanced convolutional neural networks
Kartik Audhkhasi, Osonde Osoba, Bart Kosko

Hadoop neural network for parallel and distributed feature selection
Victoria J. Hodge, Simon O'Keefe, Jim Austin

A new Growing Neural Gas for clustering data streams
Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag

Scalable learning method for feedforward neural networks using 
minimal-enclosing-ball approximation
Jun Wang, Zhaohong Deng, Xiaoqing Luo, Yizhang Jiang, Shitong Wang

A decentralized training algorithm for Echo State Networks in 
distributed big data applications
Simone Scardapane, Dianhui Wang, Massimo Panella

Smart sampling and incremental function learning for very large high 
dimensional data
Diego G. Loyola R, Mattia Pedergnana, Sebastian Gimeno Garcia

Least square neural network model of the crude oil blending process
Jose de Jesus Rubio

Machine learning based sample extraction for automatic speech 
recognition using dialectal Assamese speech
Swapna Agarwalla, Kandarpa Kumar Sarma

Learning to decode human emotions with Echo State Networks
Lachezar Bozhkov, Petia Koprinkova-Hristova, Petia Georgieva