&lt;title&gt;Fuzzy neural network for the analysis of partially occluded objects&lt;/title&gt;

Zhong Lin Wang; I. Barraco; M. Rovazzotti; F. Ravera; S. DeSanctis

doi:10.1117/12.205258

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<title>Fuzzy neural network for the analysis of partially occluded objects</title>

Article 1995 en

Abstract

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Based on curvature representation, a fuzzy Kohonen self-organizing feature mapping is combined with the fuzzy delta rule to recognize partially occluded objects. Because of learning and tolerant performance as well as fuzzy membership function, the fuzzy hybrid neural networks can recognize the objects with higher precision.

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Abstract

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HYBRID FUZZY POLYNOMIAL NEURAL NETWORKS

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<title>Fuzzy neural network for the analysis of partially occluded objects</title>

<title>Unsupervised/supervised hybrid networks for identification of TSS-1 satellite</title>

<title>Recognition for TSS-1 satellite body by hybrid neural networks</title>

<title>Fuzzy neural network with fast backpropagation learning</title>