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这个程序是根据上一个上传的模糊神经网络的算法改进，更加精确，而且训练时间缩短。-this procedure is uploaded on a fuzzy neural network algorithm improvements, more precise, and reduce training time.
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模糊神经网络在飞行系统中的应用研究,该论文介绍最新的模糊神经网络应用.-FNN in the flight system of research, the paper introduces the latest fuzzy neural network application.
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将基于聚类分析的神经网络-模糊控制器应用于火电厂锅炉控制系统的访问研究-Cluster analysis will be based on neural network- fuzzy controller used in thermal power plant boiler control system access to research
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This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.
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This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.
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This program is prepared as an one-step EEG predictor. this is used a fuzzy neural network which is trained by a chaotic back propagation method
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基于MATLAB的模糊神经网络开发程序，相信对大家有一定的作用。-MATLAB-based fuzzy neural network development process, I believe we have a certain role.
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【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦M
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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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详细介绍了模糊神经网络并如何讲述在Matlab中实现-Detailed introduces the fuzzy neural network and how to tell in the Matlab to achieve
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该代码实现了一中具有补偿的模糊神经网络结构，通过对一个函函数的仿真，能看出，该结构相应快速，输出稳定 已通过测试。
-The code one compensation fuzzy neural network structure can be seen through the simulation of the function of a letter, that the structure of the corresponding speed, output stability has
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对模糊神经网络的应用，通过嘉陵江水质的检测，利用模糊系统测出水质性能-The application of fuzzy neural network
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基于模糊神经网络技术的智能诊诊断专家系统的研究附录 代码部分
-Appendix section of code smart clinic diagnosis expert system based on fuzzy neural network technology
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输入为－两输入，输出为－单输出的模糊神经网络matlab实现.-The input is- two input and output for- single-output fuzzy neural network Matlab.
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本源代码是本人亲自开发的关于模糊神经网络模型的实现，它结合了模糊逻辑与神经网络的优点，具具有全局逼近的功能。本代码提供了简单易懂的界面，输入学习样本，能进行预测并能输出预测结果。
-The origin code is personally developed fuzzy neural network model, which combines the advantages of fuzzy logic and neural network, a global approximation.
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模糊神经网络的程序，利用K-means法得到的模糊规则个数-Fuzzy neural network program, the use of K-means method to get the number of fuzzy rules
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一个学习递归模糊神经网络的程序，很好用，值得学习-A recursive fuzzy neural network procedures, it is easy to use, it is worth learning
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this file is contains matlab code for fuzzy network and neural network
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