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《Acta Electronica Sinica》 2002-10
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Bionic (Topological) Pattern Recognition——A New Model of Pattern Recognition Theory and Its Applications

WANG Shou-jue(Lab of Artificial Neural Networks,Institute of Semiconductors,CAS,Beijing 100083,China)  
A new model of pattern recognition principles,witch is based on "matter cognition"instead of "matter classification"in traditional statistical pattern recognition,has been proposed.This new model is better closer to the function of human being,rather than traditional statistical pattern recognition using"optimal seperating"as its main principle.So the new model of pattern recognition is called the Bionic Pattern Recognition.Its mathematical basis are topological analysis of sample set in the high dimensional feature space,therefore it is also called the Topological Pattern Recognition.The basic idea of this model is based on the fact of the continuity in the feature space of any one of the certain kinds of samples.We did experiments on recognition of omnidirectionally oriented rigid objects on the same level,with the Bionic Pattern Recognition using neural networks,which acts by the method of covering the high dimensional geometrical distribution of the sample set in the feature space.Many animal and vehicle models(even with rather similar shapes) were recognized omnidirectionally thousands of times.For total 8800 tests,the correct recognition rate is 99.75%,the error rate and the rejection rate are 0 and 0.25 respectively.
【Fund】: 国家自然科学基金项目 (No 60 1 350 1 0 )
【CateGory Index】: TP391.4
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