4 April 1997 Real-time intelligent adaptive control on a 16-chips parallel zero instruction set computer (ZISC) single board
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Abstract
In 1995 we have presented a new approach to intelligent control based on Restricted Coulomb Energy concept which derives from Radial Basis Function (RBF) like neural network. A parallel implementation of adaptive process control using this technique has been discussed. In this paper we present a Zero Instruction Set Computer based parallel implementation of the real time intelligent adaptive control (using RBF like neural network). We expose the architecture of our parallel neural controller discussing the neurons consumption (use up) in learning phase and it's capabilities in the operation phase (relaxation). Analysis of feature space (parameter space) mapping obtained from experimental validation and experimental results are presented validating our concepts.
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Kurosh Madani, Kurosh Madani, Gilles Mercier, Gilles Mercier, Abdennasser Chebira, Abdennasser Chebira, Sebastian Duchesne, Sebastian Duchesne, } "Real-time intelligent adaptive control on a 16-chips parallel zero instruction set computer (ZISC) single board", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271474; https://doi.org/10.1117/12.271474
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