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题名: Biomimetic (topological) pattern recognition - A new model of pattern recognition theory and its application
作者: Wang SJ;  Chen X
出版日期: 2003
会议日期: JUL 20-24, 2003
摘要: A new theoretical model of Pattern Recognition principles was proposed, which is based on "matter cognition" instead of "matter classification" in traditional statistical Pattern Recognition. This new model is closer to the function of human being, rather than traditional statistical Pattern Recognition using "optimal separating" as its main principle. So the new model of Pattern Recognition is called the Biomimetic Pattern Recognition (BPR)(1). Its mathematical basis is placed on topological analysis of the sample set in the high dimensional feature space. Therefore, it is also called the Topological Pattern Recognition (TPR). The fundamental 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 experimented with the Biomimetic Pattern Recognition (BPR) by using artificial neural networks, which act through covering the high dimensional geometrical distribution of the sample set in the feature space. Onmidirectionally cognitive tests were done on various kinds of animal and vehicle models of rather similar shapes. For the total 8800 tests, the correct recognition rate is 99.87%. The rejection rate is 0.13% and on the condition of zero error rates, the correct rate of BPR was much better than that of RBF-SVM.
会议名称: International Joint Conference on Neural Networks
KOS主题词: Pattern perception;  neural networks;  Biomimetic
会议文集: PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4
专题: 中国科学院半导体研究所(2009年前)_会议论文

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推荐引用方式:
Wang SJ; Chen X .Biomimetic (topological) pattern recognition - A new model of pattern recognition theory and its application .见:IEEE .PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4,345 E 47TH ST, NEW YORK, NY 10017 USA ,2003,2258-2262
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