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MLPbackpropagation
- MLP backpropagation xor, sin and function approximation.
code
- 三道题，包括1：用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题:2：用奇阶互补法设计两带滤波器组(高、低通互补)，进而实现四带滤波器组 3：估计其功率谱-Three questions, including: 1 using multilayer perceptron ( MLP ) neural network and error back propagation ( BP ) algorithm to realize the XOR problem: 2: the odd
li1
- 请用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题（输入为，要求可以判别输出为0或1），并画出学习曲线。其中，非线性函数采用S型Logistic函数。-Please use the Multilayer Perceptron (MLP) back propagation neural network (BP) algorithm XOR problem (input is required to determine the output is 0 or 1), and draw
mlp
- this code source implement artificial neural network by using multi layers perceptron whit xor sample test.- this code source implement artificial neural network by using multi layers perceptron whit xor sample test.
MLP
- Neural network XOR with a multilayer perceptron
Multi-layer-perceptron
- XOR_Example % The matrix implementation of the Backpropagation algorithm for two-layer