The way double polarity s function and LM algorithm combine with BP neural network is analyzed in the paper. The steps of new algorithm were given.
分析了双极性S型函数及LM算法与BP神经网络具体结合实现的方法，并给出了算法步骤。
A fuzzy neural network in t s model is constructed. Chaotic mechanism is introduced into the normal BP algorithm to train the weight parameters of the fuzzy neural networks.
出一种T -S模型的模糊神经网络，在通常BP算法的基础上，引进混沌机制来训练模糊神经网络的权值参数。
The imitation of computer proves that BP G S algorithm may decrease learning time in the whole. The effect is obvious especially when the error value is near to the optimal point.
文章最后的计算机仿真说明BPGS总体上可以减少学习的时间，尤其当误差值逼近最小点时效果明显。
The imitation of computer proves that BP G S algorithm may decrease learning time in the whole. The effect is obvious especially when the error value is near to the optimal point.
文章最后的计算机仿真说明BPGS总体上可以减少学习的时间，尤其当误差值逼近最小点时效果明显。
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