Article
A genetic algorithm with adaptive mutations and family competition for training neural networks.
International journal of neural systems - 1 Oct 2000
Yang J M, Horng J T, Kao C Y
Abstract excerpt
In this paper, we present a new evolutionary technique to train three general neural networks. Based on family competition principles and adaptive rules, the proposed approach integrates decreasing-based mutations and self-adaptive mutations to collaborate with each other. Different mutations act as global and local strategies respectively to balance the trade-off between solution quality and convergence speed....
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