Boundary search procedure for the design and training of an ontogenic neural network classifier

DOI10.1016/S0305-0548(97)00042-7zbMath0907.90281OpenAlexW2094101722MaRDI QIDQ1265852

James P. Ignizio, James R. Soltys

Publication date: 2 March 1999

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0305-0548(97)00042-7

zbMATH Keywords

classificationheuristicontogenic neural network

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Pattern recognition, speech recognition (68T10)

Related Items (1)

Some experimental evidence on the performance of GA-designed neural networks

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Simple but powerful goal programming models for discriminant problems
• Second order mathematical programming formulations for discriminant analysis
• Simultaneous design and training of ontogenic neural network classifiers
• Using ontogenic classification networks in a smart structures application
• Multisurface method of pattern separation for medical diagnosis applied to breast cytology.
• Pattern Classification Using Linear Programming
• Multisurface method of pattern separation

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