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About Training Neural Networks With GA Hybrid Algorithms
This document discusses training neural networks using hybrid genetic algorithms. It compares five algorithms: Backpropagation, Levenberg-Marquardt, a Genetic Algorithm, and two hybrids combining the Genetic Algorithm with Backpropagation and Levenberg-Marquardt. The algorithms are evaluated on three medical classification problems. The conclusions show that the hybrid algorithms outperform the pure algorithms.
Detailed Information
| Author: | ['jkl316'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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