In this thesis, soft computing based control algorithms including genetic algorithms (GA), fuzzy control, neural networks (NN) and their different combinations are discussed systematically.
本论文对包含遗传算法、模糊逻辑控制和神经网络的软计算的智能控制及其几种不同结合方式做了较为系统的研究。
Using Genetic Algorithms (GA) to train Neural Network (NN), the weight and structure of NN is optimized at the same time.
对神经网络采用改进的基因遗传算法进行训练，可以实现神经网络权值和结构的同时优化。
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