搜索资源列表
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模糊神经网络与软件计算的各章代码，值得学习，望对大家有用,Fuzzy neural network computing and software of the various chapters of the code, it is worth learning, look for useful
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可自动生成规则的动态模糊神经网络。来自于清华大学吴世虔老师的《动态模糊神经网络》一书。-The rules can be automatically generated dynamic fuzzy neural networks. From Tsinghua University, Mr Ng Sai-kuen teacher " Dynamic fuzzy neural network," a book.
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模糊神经网络结构的构建，训练，进行模糊推理计算。-Fuzzy neural network structure to build, training, to carry out fuzzy inference calculation.
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模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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模糊神经网络预测地基沉降量（神经网络实用教程中源码）-Fuzzy neural network prediction of foundation settlement [neural network practical tutorial source]
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neural network fuzzy codes
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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。-Input- two input, output- single-output fuzzy neural network matlab implementation.
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模糊神经网络matlib实现，希望对大家有用！-Fuzzy neural network matlib realize the hope for all of us!
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matlab中关于模糊控制器的设计，编程，模糊神经网络控制，模糊PID控制等-matlab fuzzy controller on the design, programming, fuzzy neural network control, fuzzy PID control
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发一个模糊神经网络的Matlab程序
其中kmeans部分让大家自己补充吧
-Development of a fuzzy neural network which kmeans part of Matlab programs for everyone to add it
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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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机器人模糊神经网络matlab的simulink建模，源代码-Robot fuzzy neural network matlab simulink model of the source code
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模糊神经网络的预测算法-嘉陵江水质评价 模糊神经网络算法-Fuzzy neural network prediction algorithm- Jialing River water quality assessment algorithm for 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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补偿模糊神经网络的matlab程序，可以进行matlab仿真。是毕业设计和程序开发的利器-Compensatory fuzzy neural network
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进行模糊神经网络的编程和仿真。可以对网络进行很好的训练。进行模式识别和故障诊断-Fuzzy neural network
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MATLAB神经网络30个案例分析_案例24 模糊神经网络的预测算法-嘉陵江水质评价的源代码及数据-MATLAB Neural Network Analysis of 30 cases _ the fuzzy neural network prediction algorithm in Case 24- Jialing River water quality evaluation of the source code and data
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这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。-This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy net
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基于模糊神经网络的预测算法-嘉陵江水质评价-Prediction algorithm based on fuzzy neural network- Jialing River Water Quality Evaluation
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