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- Hamburg 12/8/1993
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- NeXT Application
- Adaptive Resonance Theorie (ART)
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- Neural network models based on the ART developped by
- Carpenter and Grossberg have the ability of stable unsupervised
- learning.
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- In this package you will find a NeTXStep application (tested for
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- release 3.0)
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- ART.app and its source code (*.m, *.h, *.nib)
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- simulating the basic ART-2 network for recognition and
- classification of analog patterns. Additionally you find a modifi-
- cation of the network, which allows distributed classification
- by of superposition of orthogonal pattern components.
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- A PostScript file ART.ps contains a detailed description in German
- language of my ART-2 modification, its results and a rough
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- introduction to the usage of ART.app.
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- This document is the outcome of my project work at the institute
- of Technical Computer Science VI at TU Hamburg-Harburg, Germany.
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- For fundamental understanding of Grossberg's Adaptive Resonance
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- Theory and derived neural networks please have a look at
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- (1) Carpenter, G.A., Grossberg, S.: A massively parallel
- architecture for a self-organizing neural pattern recognition
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- machine, Computer Vision, Graphics and Image Processing,
- Academic Press, Inc., 1987
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- (2) Carpenter, G.A., Grossberg, S.: ART-2: self-organization of
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- stable category recognition codes for analog input patterns,
- Applied Optics, Vol.26, 1987
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- For questions and suggestions please contact
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- e-Mail: ti6cmt@tick.ti6.tu-harburg.de
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- Christian Mueller-Tomfelde
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