DocumentCode :
1563599
Title :
Design of a Self-Organizing Learning Array system
Author :
Starzyk, Janusz ; Liu, Tsun-Ho
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA
Volume :
5
fYear :
2003
Abstract :
This paper discusses a concept of Self-Organizing Learning Array developed for programmable hardware realization. This system is designed for solving an unspecified machine-learning problems such as classification and recognition. Basic design of the array including neurons interconnections and organization is described. Symbolic values assignment method and self-organizing principle are also discussed in this paper.
Keywords :
learning (artificial intelligence); self-organising feature maps; SOLAR network; machine learning; neuron interconnection; neuron organization; pattern classification; pattern recognition; programmable hardware; self-organizing learning array; symbolic value assignment; Computer science; Entropy; Feeds; Genetic algorithms; Hardware; Neurons; Organizing; Solar power generation; Testing; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
Type :
conf
DOI :
10.1109/ISCAS.2003.1206434
Filename :
1206434
Link To Document :
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