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a matlab code for training a backpropagation neural network
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MATLAB neural network backprop code
This code implements the basic backpropagation of
error learning algorithm. The network has tanh hidden
neurons and a linear output neuron.
adjust the learning rate with the slider
-MATL
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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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有限脉冲神经网络MATLAB源码,由波兰国立大学生物医药信号处理实验室提供。FIR 神经网络属于一种BP神经网络。-Finite Impulse Response (FIR) neural network models each synapse as a linear filter to provide dynamic interconnectivity. Temporal backpropagation is used to train the network in which error t
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