Adaptive Resonance Theory Microchips: Circuit Design by Teresa Serrano-Gotarredona, Bernabé Linares-Barranco,

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

Adaptive Resonance conception Microchips describes circuit innovations leading to effective and practical adaptive resonance concept (ART) structures. whereas paintings algorithms were built in software program by means of their creators, this can be the 1st ebook that addresses effective VLSI layout of artwork platforms. All platforms defined within the e-book were designed and fabricated (or are nearing of completion) as VLSI microchips in anticipation of the upcoming proliferation of paintings purposes to independent clever platforms. to deal with those platforms, the ebook not just offers circuit layout suggestions, but in addition validates them via experimental measurements. The e-book additionally contains 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. furthermore, a whole bankruptcy is dedicated to different capability purposes for real-time information clustering and type learning.

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14. 3 all data points are clustered into two categories, shown in Fig. 14(a) with circles and dots, respectively. Also shown are the category boxes (u, V C ) . 6 four categories result, as is shown in Fig. 14(b). Fig. 7, and Fig. 8. These figures were generated using the Fuzzy-ART MATLAB code example included in Appendix A. 5 FUZZY-ARTMAP The Fuzzy-ARTMAP architecture is identical to the ARTMAP one, except that the ART1 module (or modules) have been substituted by Fuzzy-ART structures. Consequently, the only difference is that input patterns a (for the first Fuzzy-ART module) or b (for the optional second Fuzzy-ART module) are of analog nature.

In this mode the system knowledge will increase with experience and more precise answers will be given as ARTMAP is exposed to more (a, yb) pairs. This operation mode is similar to human beings operating in natural environments. Complement Coding Option. Sometimes it is useful that the norm of all input patterns a be the same. For ART based systems with analog inputs (like Fuzzy-ART and Fuzzy-ARTMAP) this avoids the category proliferation problem described by Moore [Moore, 1989] and solved by Carpenter and Grossberg using complement coding [Carpenter, 1991c], [Carpenter, 1992].

1(c) shows the final modified ART1 algorithm, which we will call throughout this Chapter the ART1m algorithm. In Appendix B we show that all the ART1 mathematical properties are preserved when replacing the division operation by a subtraction one. On the contrary, in the next Section we show that the result is a system with a slightly different input-output behavior, but nevertheless the parameters can be mapped from the original algorithm to the modified one to minimize the differences between the two.

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