Comparative evaluation of genetic algorithm and backpropagation for training neural networks

DOI10.1016/S0020-0255(00)00068-2zbMath0981.68743OpenAlexW2079143456MaRDI QIDQ5946280

Randall S. Sexton, Jatinder N. D. Gupta

Publication date: 14 October 2001

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-0255(00)00068-2

zbMATH Keywords

neural networkschaotic time series functions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (6)

Employee turnover: a neural network solution ⋮ A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation ⋮ A clustering-based portfolio strategy incorporating momentum effect and market trend prediction ⋮ Evolutionary radial basis functions for credit assessment ⋮ Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms ⋮ Evolutionary radial basis functions for credit assessment

Uses Software

• Genocop

Cites Work

• Multilayer feedforward networks are universal approximators
• Oscillation and Chaos in Physiological Control Systems
• Learning representations by back-propagating errors
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Comparative evaluation of genetic algorithm and backpropagation for training neural networks