Deterministic Pattern Classifier Based on Genetic Programming

Deterministic Pattern Classifier Based on Genetic Programming

TP1; This paper proposes a supervised training-test method with Genetic Programming (GP) for pattern classification. Compared and contrasted with traditional methods with regard to deterministic pattern classifiers, this method is true for both linear separable problems and linear non-separable prob...

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Veröffentlicht in:系统科学与系统工程学报(英文版) 2001, Vol.10 (2), p.129-136
Hauptverfasser: LI Jian-wu, Li Min-qiang, KOU Ji-song
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container_title 系统科学与系统工程学报(英文版)
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creator LI Jian-wu
Li Min-qiang
KOU Ji-song
description TP1; This paper proposes a supervised training-test method with Genetic Programming (GP) for pattern classification. Compared and contrasted with traditional methods with regard to deterministic pattern classifiers, this method is true for both linear separable problems and linear non-separable problems. For specific training samples, it can formulate the expression of discriminate function well without any prior knowledge. At last, an experiment is conducted, and the result reveals that this system is effective and practical.
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title Deterministic Pattern Classifier Based on Genetic Programming
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