A new interactive model for improving the learning performance of back propagation neural network
- 21 February 2007
- journal article
- research article
- Published by Elsevier in Automation in Construction
- Vol. 16 (6) , 745-758
- https://doi.org/10.1016/j.autcon.2006.12.007
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Tuning the Structure and Parameters of a Neural Network by Using Hybrid Taguchi-Genetic AlgorithmIEEE Transactions on Neural Networks, 2006
- A neural network approach for early cost estimation of structural systems of buildingsInternational Journal of Project Management, 2004
- The general inefficiency of batch training for gradient descent learningNeural Networks, 2003
- Tuning of the structure and parameters of a neural network using an improved genetic algorithmIEEE Transactions on Neural Networks, 2003
- A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learningIEEE Transactions on Neural Networks, 1996
- Feed-forward neural networksIEEE Potentials, 1994
- Comments on "Can backpropagation error surface not have local minima?".IEEE Transactions on Neural Networks, 1994
- Self-learning fuzzy controllers based on temporal backpropagationIEEE Transactions on Neural Networks, 1992
- Accelerating the convergence of the back-propagation methodBiological Cybernetics, 1988
- Increased rates of convergence through learning rate adaptationNeural Networks, 1988