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Description: 利用遞迴式模糊類神經網路(recerrent neural networks system identification, RFNN)進行系統辨識, 自己寫的請多包含-recerrent neural networks system identification, RFNN
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Size: 14336 |
Author: 郭小龍 |
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Description: COntrol nonlinear system using RF-COntrol nonlinear system using RFNN
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Size: 2048 |
Author: centema |
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Description: 用matlab编写的一个小程序，实现模糊控制。在此基础上可以修改编写自适应模糊控制器。-With a small program written in matlab, fuzzy control. On this basis, the preparation can be modified adaptive fuzzy controller.
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Size: 2048 |
Author: xiebo |
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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.
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Size: 117760 |
Author: 林真天 |
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Description: 在模糊神经网络加入反馈环节形成递归网络，MATLAB编程实现(A recursive network is formed by adding a feedback link to the fuzzy neural network. The MATLAB programming is implemented.)
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Size: 1024 |
Author: S201502099
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Description: 混合粒子群优化的神经网络训练完整代码，matlab实现(hybrid particle swarm optimization for RFNN training implemented by matlab)
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Size: 33792 |
Author: Wasanuo |
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