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Computational Intelligence and Neuroscience
Volume 2016 (2016), Article ID 7158507, 14 pages
http://dx.doi.org/10.1155/2016/7158507
Research Article

A Self-Organizing Incremental Spatiotemporal Associative Memory Networks Model for Problems with Hidden State

Department of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China

Received 31 May 2016; Revised 23 July 2016; Accepted 27 July 2016

Academic Editor: Manuel Graña

Copyright © 2016 Zuo-wei Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zuo-wei Wang, “A Self-Organizing Incremental Spatiotemporal Associative Memory Networks Model for Problems with Hidden State,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 7158507, 14 pages, 2016. doi:10.1155/2016/7158507