A modified error function for the backpropagation algorithm
- 31 March 2004
- journal article
- research article
- Published by Elsevier BV in Neurocomputing
- Vol. 57, 477-484
- https://doi.org/10.1016/j.neucom.2003.12.006
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Use of genetic programming for the search of a new learning rule for neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Training neural networks with additive noise in the desired signalIEEE Transactions on Neural Networks, 1999
- Application of simulated annealing to the backpropagation model improves convergencePublished by SPIE-Intl Soc Optical Eng ,1993
- On the problem of local minima in backpropagationIeee Transactions On Pattern Analysis and Machine Intelligence, 1992
- The Physical Correlates of Local MinimaPublished by Springer Science and Business Media LLC ,1990
- Multilayer feedforward networks are universal approximatorsNeural Networks, 1989
- Approximation by superpositions of a sigmoidal functionMathematics of Control, Signals, and Systems, 1989
- On the approximate realization of continuous mappings by neural networksNeural Networks, 1989
- Capabilities of three-layered perceptronsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1988
- Factors influencing learning by backpropagationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1988