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backpropagation for Neural network
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Backpropagation neural network using .NET
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This book provides illustrative examples in C++ that the reader can use as a basis for further experimentation. A key to learning about neural networks to appreciate their inner workings is to experiment. Neural networks, in the end, are fun to learn
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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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This the error backpropagation algorithm based character recognition program developed in matlab. The program folder contains the training images of some english alphabets & numerals. & trains the neural network using train command in matlab. The neu
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BP神经网络训练程序，基于梯度学习算法，对非线性函数（hermitian）逼近。-The BP neural network training program，which is based on the steepest descent Method，，，backpropagation network (BP) approximation of the nonlinear function。
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it s backpropagation neural network for iris data set
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识别手写数字的人工神经网络的发展神经网络概念，如神经元，层，重量和反向传播等概念及c++实现在文中给出-This article chronicles the development of an artificial neural network designed to recognize handwritten digits. Although some theory of neural networks is given here, it would be better if you alr
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This a sample of a simple image classification using K-Nearest Neighbor and Backpropagation Neural Network. It uses block averaging in feature extraction process.-This is a sample of a simple image classification using K-Nearest Neighbor and Backprop
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Artificial neuarl network is one of the recent developed softcomputing technique work on the basis of human neural system. The traning and testing are the two important process in artificial neural network. ther are many techniques used for the train
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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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一个前馈反向传播人工神经网络的实现，并应用CUDA加速-Implementation of a feed-forward backpropagation artificial neural network using CUDA
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Tran a neural network using a combination of PSO and backpropagation algorithm
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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。(It is a multilayer feedforward network trained by error backpropagation algorithm, and is one of the most widely used neural network models. BP networks can learn a
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神经网络，前向传播，反向传播，减小loss值(Neural network, forward propagation, backpropagation, reduce loss value)
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利用BP神经网络对邮件分类，2分类，实现反向传播算法细节，非直接函数调用(BP neural network is used to classify mail, 2 classifications, to implement the details of backpropagation algorithm, non direct function call.)
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深度学习代码CNN，用VC++ 实现，很有参考价值，神经网络权值参数反向传播实现。(Deep learning code CNN, implemented with VC++, is of great reference value, and neural network weight parameter backpropagation is realized.)
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