Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization.
Recent theoretical results support that decreasing the number of free parameters in a neural network (i.e., weights) can improve generalization. These results have triggered the development of many approaches which try to determine an ?appropriate? network size for a given problem. The main goal has...
| में प्रकाशित: | Neurocomputing :an international journal. 17, 3-4 (1997). |
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| मुख्य लेखक: | |
| स्वरूप: | लेख |
| भाषा: | English |
| विषय: |