The compensation fuzzy neural network (CFNN) with fast learning algorithm and compensation fuzzy inference is introduced in this paper.
本文介绍了一种具有快速学习算法、能够执行补偿模糊推理的补偿模糊神经网络。
The compensative fuzzy neural network (CFNN) based on compensative fuzzy logic and neural network and its study arithmetic are researched.
研究了基于补偿模糊逻辑与神经网络相结合的补偿模糊神经网络(CFNN)。
Finally, the result of the fault diagnosis modeling of TEP shows that the proposed network is superior to the conventional FNN and CFNN in modeling precise and convergence rate.
通过对TE过程的故障诊断建模，结果表明该网络在建模精度和收敛速度上均优于常规补偿模糊神经网络和常规模糊神经网络。
Finally, the result of the fault diagnosis modeling of TEP shows that the proposed network is superior to the conventional FNN and CFNN in modeling precise and convergence rate.
通过对TE过程的故障诊断建模，结果表明该网络在建模精度和收敛速度上均优于常规补偿模糊神经网络和常规模糊神经网络。
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