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基于matlab的新型信号处理算法集。包括模拟退火、遗传算法、反向传播神经网络、小波变换等等，对于统计信号处理很有参考价值。-Matlab based on a new type of signal processing algorithms. Including simulated annealing, genetic algorithm, back-propagation neural network, wavelet transform, etc., for statistical sig
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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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code for those beginner
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matlab神经网络工具箱的实用指南，第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。-matlab neural network toolbox of the Practical Guide, chap neural network are the basic introduction, chapter II, inc
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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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Back propagation implementation
for example
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NN neural network for face recognition
supervised feed forward back propagation neural network
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back propagation method
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反向传播神经网络例程，单隐层BP网络，简单易懂-Back-propagation neural network routines, a single hidden layer BP network, easy-to-read
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双隐层反向传播神经网络例程，教学用，算法解释清晰-Two-hidden layer back-propagation neural network routines, teaching the algorithm explained clearly
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類神經網路之倒傳遞神經網路模型，使用matlab之c語言編輯-Artificial Neural Network- Back Propagation code with Matlab
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BP神经网络是指基于误差反向传播(Error Back Propagation)算法的多层前馈神经网络-tool-state classification using multi-layer perception neural networks
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使用bp（反向传播算法）实现分类问题，并观察分类过程中误差的变化。-Use bp (back-propagation algorithm) to achieve the classification and observe the changes in classification process in the error.
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Matlab编写的BP误差反向传播神经网络算法-Matlab BP prepared by back propagation neural network algorithm
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that is so important code of matlab in back propagation !
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Back-Propagation Neural Network Model for predicting the traffic situation of Australia. -This procedure aims to solve the prediction of the Australia Highway traffic situation.
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back propagation ANN training
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a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
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The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation
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智能小车是移动机器人的一种，可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物，必须对其进行路径规划?，路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有：BP人工神经网络法（Back Propagation）、机器学习（Reinforcement Learning）、以及模糊控制（Fuzzy Control）方法等。(There are many ways on autonomous mobile robot obstac
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