Optimizing feedforward artificial neural network architecture
Top Cited Papers
- 30 April 2007
- journal article
- Published by Elsevier BV in Engineering Applications of Artificial Intelligence
- Vol. 20 (3), 365-382
- https://doi.org/10.1016/j.engappai.2006.06.005
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Constructing and training feed-forward neural networks for pattern classificationPattern Recognition, 2003
- G-Prop: Global optimization of multilayer perceptrons using GAsNeurocomputing, 2000
- A new artificial neural network based fuzzy inference system with moving consequents in if–then rules and selected applicationsFuzzy Sets and Systems, 1999
- The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical studyEnvironmental Modelling & Software, 1998
- Understanding the behaviour and optimising the performance of back-propagation neural networks: an empirical studyEnvironmental Modelling & Software, 1998
- Coupling weight elimination with genetic algorithms to reduce network size and preserve generalizationNeurocomputing, 1997
- MLP iterative construction algorithmNeurocomputing, 1997
- A new evolutionary system for evolving artificial neural networksIEEE Transactions on Neural Networks, 1997
- Optimal design of neural networks using the Taguchi methodNeurocomputing, 1995
- Some new results on neural network approximationNeural Networks, 1993