New PDF release: Adaptive Resonance Theory Microchips: Circuit Design

By Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Andreas G. Andreou

ISBN-10: 144198710X

ISBN-13: 9781441987105

ISBN-10: 146134672X

ISBN-13: 9781461346722

Adaptive Resonance thought Microchips describes circuit recommendations leading to effective and practical adaptive resonance concept (ART) platforms. whereas artwork algorithms were built in software program via their creators, this can be the 1st booklet that addresses effective VLSI layout of artwork structures. All platforms defined within the booklet were designed and fabricated (or are nearing final touch) as VLSI microchips in anticipation of the approaching proliferation of paintings functions to self sufficient clever platforms. to house those structures, the publication not just presents circuit layout suggestions, but in addition validates them via experimental measurements. The e-book additionally encompasses a bankruptcy tutorially describing 4 paintings architectures (ART1, ARTMAP, Fuzzy-ART and Fuzzy-ARTMAP) whereas delivering simply comprehensible MATLAB code examples to enforce those 4 algorithms in software program. additionally, a complete bankruptcy is dedicated to different strength functions for real-time info clustering and class learning.

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Additional info for Adaptive Resonance Theory Microchips: Circuit Design Techniques

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This is the same than for the ARTMAP architecture, and therefore, ADAPTIVE RESONANCE THEORY ALGORITHMS 31 " (a) ', . 14, Categories formed by a Fuzzy-ART system trained with the training set shown in Fig. 8. the Map-Field module behaves in the same manner for ARTMAP than for Fuzzy-ARTMAP. As in ARTMAP one can distinguish between a simple Fuzzy-ARTMAP architecture, with only one Fuzzy-ART module, and a general Fuzzy-ARTMAP architecture, with two Fuzzy-ART modules. The only difference between them, is that for the general Fuzzy-ARTMAP the system will try to find compressed representations for the exemplars b given to the second Fuzzy-ART module.

The rest of patterns, since they differ significantly from this rare one, will never choose its category for update, and consequently will not alter it. Direct Access to FaIlliliar Input Patterns. An input pattern I is said to have Direct Access to a stored category j, if this category is the first one chosen by the F2 (WTA) layer and it meets the vigilance criterion. As the human cognitive system, ARTI has the ability to quickly recognize an object which is familiar to the system. No matter how many recognition codes (or categories) the system may store, after stabilization the system always accesses directly the code of patterns that have been previously learned or which are very similar to other previously learned input patterns.

37) will be checked again. This search process continues until layer F2 finds a winning category which fulfills the vigilance criterion. 38) where,B is the 'learning rate parameter' ,B E [0,1]. Fast-Commit Slow-Recode Option For efficient coding of noisy input sets, it is useful to set ,B = 1 when the learning category J is an uncommitted node (fast-commit) and,B < 1 after the category is committed (slow-recode). With this option, the first time category J becomes active zJ(new) = I, allowing an adequate response to inputs that may occur only rarely and in response to which a quick and accurate performance may be needed.

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Adaptive Resonance Theory Microchips: Circuit Design Techniques by Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Andreas G. Andreou


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