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MLP Back Propagation method
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The decoding of Low Density Parity Check (LDPC) codes through the iterative process of belief propagation presents practical challenges for designers looking for real time performance in communication systems. Due to the geometric and finite pattern
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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
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this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function
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this code is about mlp 1 layer neural network with back propagation training algorithm by using geradient descence for nonlinear system. input data are random.-this code is about mlp 1 layer neural network with back propagation training algorithm by
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Error Back-Propagation Algorithm for MLP Neural Networks
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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
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BP神经网络,可直接替换数据使用,方便快捷-Back Propagation+ MLP
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Back Propagation Weight Update Rule
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