一种训练神经网络的新型遗传算法

A New Genetic Algorithm for Lraining Neural Network

针对神经网络中具有大量的相似解，提出了一种规范化方法，大大地减少了神经网络中解的数目，然后，给出了多种不同的算子，通过对简单网络问题的实验，比较了它们的优劣，得出了一个新型的遗传算法ＮＧＡ。实验表明，ＮＧＡ比用传统的ＧＡ训练神经网络效果要优。

In this paper, we propose a standardized method to reduce the large number of similar solutions. With experiments in simple network problem, several operators are compared and a new genetic algorithm named NGA is presented. The result demonstrates that NGA is better than the traditional GA in training neural networks.