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5下载：
有脉冲干扰 下的柔性机械臂的模糊控制方法。采用神经网络训练出来的T—S模糊控制器，控制效果不错。只有仿真模块，没有文字说明。-pulse interference with the interference of fuzzy manipulator control methods. Using neural network training, the T-S fuzzy controller, control effectiveness. Only Simulation Module, ther
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动态模糊神经网络程序，可以运行。参考书为伍世虔动态模糊神经网络-Dynamic fuzzy neural network program, you can run. Reference books for the Wu Shi Qian dynamic fuzzy neural network
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递归T-S模糊神经网络学习算法，用遗传算法优化参数-Recursive TS fuzzy neural network learning algorithm, using genetic algorithm parameters
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一种改进的BP算法在模糊神经网络中的应用，性能得到很好的改善。-An Improved BP Algorithm in the fuzzy neural network applications, performance is very good improvement.
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模糊滑模神经网络RBF在倒立摆系统的应用-Fuzzy sliding-mode neural network RBF at the inverted pendulum system
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用matlab语言实现的模糊神经网络，可以直接拿来用。-Matlab language implementation using fuzzy neural network, can be directly brought to use.
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模糊神经网络 预测 软计算 T-S模糊模型
训练-Fuzzy neural network training in soft computing TS fuzzy model
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模型辨识 模糊神经网络 T-S模型 输入输出
前提参数 结论参数-Model Identification of TS Fuzzy Neural Network model input and output parameters of the premise parameters Conclusion
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模型辨识 模糊神经网络 T-S模型 输入输出
隶属度函数-Model Identification of TS Fuzzy Neural Network model input and output membership function
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T-S模糊神经网络的matalb程序,可以用做端点检测-TS fuzzy neural network matalb procedure can be used for endpoint detection-TS fuzzy neural network matalb procedure can be used as endpoint detection-TS fuzzy neural network matalb procedure can be used for endpoint detec
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模糊神经网络，水质评价，程序 可的结果，真实实例-fuzzy neural network
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介绍模糊神经网络的程序，包括模糊化，隶属函数选择等。-Introduced fuzzy neural network procedures, including fuzzy membership function selection.
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模糊神经网络的的相关应用及介绍，能帮助理解模糊神经网络的基本概念-Fuzzy neural network and the introduction of related applications, can help to understand the basic concepts of fuzzy neural network
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本文研究了模糊系统和神经网络这两种人工智能方法的长处和短处，并将它们有机地结合在一起。将基于T-S模型的模糊神经网络应用于水质评价中，取得了较好的效果，为水质评价提供了一个新的方法。
-In this paper, fuzzy systems and neural network artificial intelligence methods both strengths and weaknesses, and they are organically combined. TS model
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利用T-S模糊神经网络对非线性函数进行逼近，已成功运行，有注释，对学习模糊神经网络帮助很大-Using TS fuzzy neural network for nonlinear function approximation, has been run successfully, Notes, a great help learning fuzzy neural network
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用遗传算法优化参数的递归T-S模糊神经网络学习算法，值得一看。-Parameter optimization using genetic algorithm recursive TS fuzzy neural network learning algorithm, worth a visit.
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基于补偿算子的模糊神经网络系统及其在系统 建模和控制中的应用研究，包括论文和程序，程序附在论文后，为PDF文档-After the operator based compensation fuzzy neural network system and its application in modeling and control systems, including papers and procedures, procedures attached to the papers, the PDF
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T-S模糊神经网络的matlab源程序，实测可运行，并且可自动显示预测结果与实测结果，便于进行对比-T-S fuzzy neural network matlab source code, can be found running, and can be displayed automatically predicted and measured results, for easy comparison
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基于T-S的模糊神经网络，直接用于预测，预测效果非常好，这是我写论文的程序，欢迎下载-Based on t-s fuzzy neural network, directly used in prediction, prediction effect is very good, this is I write a paper application, welcome to download
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用遗传算法优化T-S模糊神经网络，实现数据预测，能达到不错的效果。(Optimization of T-S fuzzy neural network by genetic algorithm,Data prediction can be realized and it Can achieve a good effect.)
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