Toward global optimization of neural networks: A comparison of the genetic algorithm and backpropagation
- 1 February 1998
- journal article
- Published by Elsevier in Decision Support Systems
- Vol. 22 (2) , 171-185
- https://doi.org/10.1016/s0167-9236(97)00040-7
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- A neural network for classifying the financial health of a firmEuropean Journal of Operational Research, 1995
- Genetic Algorithms for Estimation Problems with Multiple Optima, Nondifferentiability, and Other Irregular FeaturesJournal of Business & Economic Statistics, 1995
- Testing for neglected nonlinearity in time series modelsJournal of Econometrics, 1993
- Recognizing Financial Distress Patterns Using a Neural Network ToolFinancial Management, 1993
- Neural Networks: A New Tool for Predicting Thrift Failures*Decision Sciences, 1992
- Genetic algorithms and neural networks: optimizing connections and connectivityParallel Computing, 1990
- On the approximate realization of continuous mappings by neural networksNeural Networks, 1989
- Multilayer feedforward networks are universal approximatorsNeural Networks, 1989
- Learning representations by back-propagating errorsNature, 1986
- Learning Process in an Asymmetric Threshold NetworkPublished by Springer Nature ,1986