An alternative approach for neural network evolution with a genetic algorithm: crossover by combinatorial optimization

DOI10.1016/j.neunet.2005.08.014zbMath1103.68683OpenAlexW2090701332WikidataQ51631859 ScholiaQ51631859MaRDI QIDQ2507310

Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez

Publication date: 10 October 2006

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2005.08.014

zbMATH Keywords

genetic algorithmscrossover operatorneural network evolution

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

An adaptive neurodynamic approach for solving nonsmooth \(N\)-cluster games ⋮ Mixed \(H_\infty \)/passive synchronization for persistent dwell-time switched neural networks via an activation function dividing method ⋮ Median based conversion of SGPA into percentage by cognitive methods

Uses Software

• DistAl
• Genocop

Cites Work

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• Optimization by Simulated Annealing
• Feedforward Neural Network Construction Using Cross Validation
• A Penalty-Function Approach for Pruning Feedforward Neural Networks
• Cooling Schedules for Optimal Annealing
• A comparative study of neural network based feature extraction paradigms
• DistAl: An inter-pattern distance-based constructive learning algorithm

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