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ORCIDNeural Networks, Volume 78
Volume 78, June 2016
- Nikola K. Kasabov
, Nathan Matthew Scott, Enmei Tu, Stefan Marks, Neelava Sengupta, Elisa Capecci, Muhaini Othman, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio N. Hartono, Josafath Israel Espinosa Ramos, Lei Zhou, Fahad Bashir Alvi, Grace Y. Wang, Denise Taylor, Valery Feigin, Sergei Gulyaev, Mahmoud S. Mahmoud, Zeng-Guang Hou, Jie Yang:
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. 1-14 - Kartik Audhkhasi, Osonde Osoba, Bart Kosko:
Noise-enhanced convolutional neural networks. 15-23 - Victoria J. Hodge, Simon O'Keefe, Jim Austin:
Hadoop neural network for parallel and distributed feature selection. 24-35 - Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag:
A new Growing Neural Gas for clustering data streams. 36-50 - Jun Wang, Zhaohong Deng, Xiaoqing Luo, Yizhang Jiang, Shitong Wang:
Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation. 51-64 - Simone Scardapane, Dianhui Wang, Massimo Panella:
A decentralized training algorithm for Echo State Networks in distributed big data applications. 65-74 - Diego Guillermo Loyola Rodriguez, Mattia Pedergnana, Sebastian Gimeno-Garcia:
Smart sampling and incremental function learning for very large high dimensional data. 75-87 - José de Jesús Rubio:
Least square neural network model of the crude oil blending process. 88-96
- Swapna Agarwalla, Kandarpa Kumar Sarma:
Machine learning based sample extraction for automatic speech recognition using dialectal Assamese speech. 97-111 - Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva:
Learning to decode human emotions with Echo State Networks. 112-119
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