In this paper, we first analyze the deficiencies of traditional fuzzy neural networks and improve the learning algorithm. The Layer-Proceeding BP Neural Networks ( LPBPNN) is given based on the hierarchical error and the learning rate which can cooperatively adjust.
本文首先分析了传统的模糊神经网络存在的缺陷,改进了学习算法,提出了将误差与学习率分层,协同调整的层递式BP神经网络。
For the large error in traditional fatigue life prediction, membership function to the life estimation was introduced in order to form fatigue life estimation method based on fuzzy revised Miner rule.
简要回顾了该领域国内外的研究成果,并分析总结了疲劳理论知识,针对传统疲劳寿命预测误差较大的问题,将隶属函数引入到寿命估算中,形成基于模糊修正Miner法则的疲劳寿命估算方法。
Research of fuzzy PI controller based on error integral
基于误差积分的模糊PI控制器的研究
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