Euclidean space data projection classifier with cartesian genetic programming (CGP)
Most evolutionary based classifiers are built based on generated rules sets that categorize the data into respective classes. This research work is a preliminary work which proposes an evolutionary-based classifier using a simplified Cartesian Genetic Programming (CGP) evolutionary algorithm. Instea...
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主要な著者: | WK Wong, Gopal Lenin, Tan, Terence, Ali Chekima |
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フォーマット: | 論文 |
言語: | English English |
出版事項: |
Penerbit UTeM
2018
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主題: | |
オンライン・アクセス: | https://eprints.ums.edu.my/id/eprint/34975/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/34975/2/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/34975/ https://jtec.utem.edu.my/jtec/article/view/3817/2761 |
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