Extracting rules from pruned neural networks for breast cancer diagnosis
- 1 February 1996
- journal article
- Published by Elsevier in Artificial Intelligence in Medicine
- Vol. 8 (1) , 37-51
- https://doi.org/10.1016/0933-3657(95)00019-4
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- A Penalty-Function Approach for Pruning Feedforward Neural NetworksNeural Computation, 1997
- Use of a quasi-Newton method in a feedforward neural network construction algorithmIEEE Transactions on Neural Networks, 1995
- A simple and effective method for removal of hidden units and weightsNeurocomputing, 1994
- Multiple disorder diagnosis with adaptive competitive neural networksArtificial Intelligence in Medicine, 1993
- Extracting refined rules from knowledge-based neural networksMachine Learning, 1993
- A NODE PRUNING ALGORITHM FOR BACKPROPAGATION NETWORKSInternational Journal of Neural Systems, 1992
- Improving the convergence of the back-propagation algorithmNeural Networks, 1992
- IMPROVING GENERALIZATION OF NEURAL NETWORKS THROUGH PRUNINGInternational Journal of Neural Systems, 1991
- Use of an Artificial Neural Network for Data Analysis in Clinical Decision-Making: The Diagnosis of Acute Coronary OcclusionNeural Computation, 1990
- A simple procedure for pruning back-propagation trained neural networksIEEE Transactions on Neural Networks, 1990