Description: 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 nature endemic in the construction of LDPC codes, this paper proposes the use of Multi Layer Perception (MLP) feed forward artificial neural networks to replace belief propagation to achieve constant decoding times while retaining performance levels comparable to more traditional decoding methods. Due to the back propagation training method used for neural networks, and the requirement of showing the network every possible input output sequence it will ever see, this paper also presents a novel method of approaching long block length codes far larger than is otherwise possible to train neural networks for with modern computer hardware. Platform: |
Size: 431104 |
Author:namareq |
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Description: 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 order complementary method in the design of two-band filters ( complementary high, low pass ), so as to realize the four band filter group 3: to estimate the power spectrum
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Size: 106496 |
Author:严菲 |
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Description: 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.this code can be use for prediction or control system by useing neural networks.-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.this code can be use for prediction or control system by useing neural networks. Platform: |
Size: 5120 |
Author:negin.d |
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Description: 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 using geradient descence for nonlinear system. input data are random. Platform: |
Size: 1024 |
Author:negin.d |
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Description: 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 the learning curve. Among them, the non-linear function using S-type Logistic functions.
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Size: 1024 |
Author:李丽红 |
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