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ISNN
2007
Springer

Hybrid Pipeline Structure for Self-Organizing Learning Array

10 years 8 months ago
Hybrid Pipeline Structure for Self-Organizing Learning Array
In recent years, many efforts have been put in applying the concept of reconfigurable computing to neural networks. In our previous pursuits, an innovative self-organizing learning array (SOLAR) was developed. However, traditional multiplexer method to achieve reconfigurable connection has its limit for larger networks. In this paper, we propose a novel pipeline structure, which offers flexible, possibly large number of dynamically configurable connections and which utilizes each node’s computing ability. The hardware re-sources demand of the proposed structure is a linear function of the network size, which is especially useful for building a large network that can handle complicated real-world applications.
Janusz A. Starzyk, Mingwei Ding, Yinyin Liu
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ISNN
Authors Janusz A. Starzyk, Mingwei Ding, Yinyin Liu
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