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开发环境:C语言
简要说明:BackProp算法：BP网络是反向传播(Back Propagation)网络。它是一种多层前向网络，采用最小均方差学习方式。这是一种最广泛应用的网络。它可用于语言综合，识别和自适应控制等用途。BP网络需有教师训练。
-development environments : C language Brief Descr iption : BackProp algorithm : BP is the back-propagation network (Back
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小波神经网络程序基于反向传播训练-wavelet-based neural network program back propagation training
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MATLAB编写的误差反向传播（BP）神经网络简单分类器。-MATLAB prepared by error back-propagation [BP] neural network classifier easy.
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This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.
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BPN 網絡演算这是用VCwin32编写的用遗传算法优化神经网络的程序-Error Back-propagation Training Algorithm
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face recognition through training back propagation in neural nets
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（C#实现）反向传播网络BPN：输入简单的训练样本训练各层的权值-(C# implementation) back-propagation network BPN: Enter the simple training of the training samples weights of each layer
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反向传播网络(Back-Propagation Network，简称BP网络)是将W-H学习规则一般化，对非线性可微分函数进行权值训练的多层网络
-Back Propagation Network (Back-Propagation Network, referred to as BP networks) is to learn the rules WH generalized, non-linear differentiable function on weight training m
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back propagation ANN training
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反向传播神经网络算法，可以用于将大量数据训练后的模拟输出-Back-propagation neural network algorithm, the data can be used for training a large number of analog outputs
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face recognition..matlab code for learing,testing,training..with back propagation neural network..with biosand without bios coding
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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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一个神经网络计算的库，实现几个通用神经网络体系和训练方法，自识别图，弹性网络等.like Back Propagation, Kohonen Self-Organizing Map, Elastic Network, Delta Rule Learning, and Perceptron Learning.-In this article, a C# library for neural network computations is described. The library impleme
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构造了一个neural network类，实现了bp算法，以及training的方法-neural network. back-propagation algorithm.
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artificial neural network, simple multi layer back propagation training algorithm with tan-sigmoid as the activation function.
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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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使用神经网络进行机器学习 神经网络 机器学习 误差反传训练算法-Using neural networks for machine learning neural network machine learning error back propagation training algorithm
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神经网络中，单个感知器的实现原理，利用反向传播进行训练。对理解BP很有帮助-Principle of neural network, a single perceptron, using the back propagation training. Is very helpful for understanding the BP
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BP（Back Propagation）网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法（梯度法），通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input layer）、隐层(hide layer)和输出层(outpu
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