Designing a classifier by a layered multi-population genetic programming approach

DOI10.1016/J.PATCOG.2007.01.003zbMath1115.68136OpenAlexW2145001882MaRDI QIDQ882254

Been-Chian Chien, Wei-Pang Yang, Hao-Ren Ke, Jung-Yi Lin

Publication date: 23 May 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.01.003

zbMATH Keywords

classificationevolutionary computationmulti-population genetic programming

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

AN IMPROVED KNOWLEDGE-ACQUISITION STRATEGY BASED ON GENETIC PROGRAMMING

Uses Software

• UCI-ml

Cites Work

• Learning effective classifiers with \(Z\)-value measure based on genetic programming
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