Description: The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2.
The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples.
The returned model has the form
1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2)
2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2)
看不懂，据高手说，非常有用。 Platform: |
Size: 51282 |
Author:beyonddoor |
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Description: The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2.
The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples.
The returned model has the form
1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2)
2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2)
看不懂，据高手说，非常有用。-The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-( multi) input samples.The returned model has the form1) if input1 is A11 and input 2 is A12 then output = f1 (input1, input2) 2) if input1 is A21 and input 2 is A22 then output = f2 (input1, input2) can not read, according to experts said that very useful. Platform: |
Size: 51200 |
Author:beyonddoor |
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Description: 使用自适应神经模糊推理系统的方法预测时间序列-The use of Adaptive Neuro-Fuzzy Inference System for Prediction of Time Series Platform: |
Size: 1024 |
Author:陆谨 |
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Description: This a very helpful matlab complement for the implementation of neural networks, fuzzy systems, neuro fuzzy systems for control and classification form scratch, I found it very helpful as a strudent and a a researcher-This is a very helpful matlab complement for the implementation of neural networks, fuzzy systems, neuro fuzzy systems for control and classification form scratch, I found it very helpful as a strudent and a a researcher Platform: |
Size: 1206272 |
Author:boulou |
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Description: 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 network trained exclusively by error backpropagation at layers 2 and 4. The network employs 4 sets of adjustable parameters. In Layer 2: mean[i,j], sigma[i,j] and Theta[i,j] and in Layer 4: Weights w4[m,j]. The network uses considerably less adjustable parameters than ANFIS/CANFIS and therefore, its training is generally faster. This makes it ideal for on-line learning/operation. Also, its approximating/mapping power is increased due to the employment of dynamic elements within Layer 2. Scatter-type and Grid-type methods are selected for input space partitioning. Platform: |
Size: 117760 |
Author:林真天 |
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Description: neuro-fuzzy network
this matlab code is prepared to be used for making neuro-fuzzy system.
you can use it for optimization Platform: |
Size: 434176 |
Author:pooria |
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Description: This is a BS Final Year Project of electrical engineering which is about Design of a Neuro Fuzzy Logic Controller for Speed Control of a DC Motor in MATLAB. Platform: |
Size: 1217536 |
Author:Tanoli Khan |
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Search - fuzzy neuro for matlab