Genetic algorithm based on the hierarchical structure can optimize topological and weights(including node s threshold) of neural network at the same time,it has a high learning efficiency.
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基于递阶结构的遗传算法可以同时对神经网络进行拓扑结构优化和权重的求解,具有较高的学习效率。
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