NDLI: Chaotic and pattern recognition properties of a network of Logistic neurons

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2010 2nd International Conference on Computer Engineering and Technology

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Chaotic and pattern recognition properties of a network of Logistic neurons

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Volume 2 - 2010

Volume 1 - 2010

2009 International Conference on Computer Engineering and Technology

Chaotic and pattern recognition properties of a network of Logistic neurons

Content Provider	IEEE Xplore Digital Library
Author	Ke Qin Oommen, B.J.
Copyright Year	2010
Description	Author affiliation: Lab of Computer Reasoning and Trust-worthy Computation, School of Computer Science and Engineering, University of Electronic Sci & Tech of China, Chengdu, Sichuan, 610054, China (Ke Qin) \|\| School of Computer Science, Carleton University, Ottawa, ON: K1S5B6, Canada (Oommen, B.J.)
Abstract	The literature on chaos theory reports numerous Neural Networks (NNs) in which the individual neurons have been interconnected and designed so that the overall network yields chaotic behaviour. Although such Chaotic Neuron Networks(CNNs) have been extensively studied, the results concerning CNNs which can demonstrate chaos, Associative Memory (AM), and Pattern Recognition (PR) are scanty. Recently, the Adachi NN and its variants have been shown to yield the entire spectrum of these properties as its/their parameters change. In this vein, we1 investigate the properties of a specific network of Logistic Neurons (LNs). By appropriately defining the input/output characteristics of a fully connected network of LNs, and by defining their set of weights and output functions, we have succeeded in designing a Logistic Neural Network (LNN) possessing some of these properties. Indeed, by varying the parameters of the LNN, we show that it can yield AM and PR properties for different settings of the parameters. As far as we know, the results presented here novel, and represent the first NN (other than the Adachi NN) which simultaneously exhibits both chaotic, AM and PR properties.
File Size	397659
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5485779
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Neurons Chaotic Pattern Recognition Logistic Networks Pattern recognition Adachi Neural Network Biological neural networks Neural networks Chaotic Neural Networks Brain modeling Cellular neural networks Mathematical model Artificial intelligence Logistics
Content Type	Text
Resource Type	Article

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