NDLI: The influence of ART1 parameters setting on the behavior of layer 2

Content Provider	IEEE Xplore Digital Library
Author	Zhong Chen Zi-Xing Cai Ze-Wen Li Xiao-Hua Wang
Copyright Year	2005
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Central South Univ. of Technol., Changsha, China (Zhong Chen; Zi-Xing Cai; Ze-Wen Li; Xiao-Hua Wang)
Abstract	Due to the complexity of ART network, the setting of parameters is rather difficult. Based on analyzing the architecture and the membrane equation of layer 2 (L2) in ART1 network, this paper describes the oscillation possibility of the activities of neurons in L2 layer and studies the influence of parameters setting on the behavior of L2 layer, such as the number of neurons (S/sub 2/), the biases /sup +/b and /sup -/b, the initial value of L1-L2 connection matrix W/sup 1:2/, through a simulation case whose transfer function is faster-than-linear. It also suggests a few basic principles of the parameters setting.
Sponsorship	IEEE Syst., Man and Cybernetics Tech. Comm. on Cybernetics, Hong Kong Polytechnic Univ. Hebei Univ. South China Univ. Chongqing Univ. Sun Yat-sen Univ. Harbin Inst. of Technol. and Int. Univ. in Germany
Starting Page	4805
Ending Page	4808
File Size	291185
Page Count	4
File Format	PDF
ISBN	0780390911
DOI	10.1109/ICMLC.2005.1527788
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Subspace constraints Equations Biomembranes Resonance Artificial neural networks Computer architecture Neural network hardware Computer aided instruction Information science Response Adaptive Resonance Theory Neural Network ART Network
Content Type	Text
Resource Type	Article

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