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完整的反向传播神经网络模式识别C++源代码,原版权威所著,学习物有所值.-integrity of the back-propagation neural network pattern recognition C source code, original authoritative book, learning value for money.
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neural network,神经网络的BP算法的代码，保证能运行，Back Propagation-neural network, the BP neural network algorithm code, the guarantee of operation, Back Propagation
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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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這是一個類神經網路中倒傳遞類神經網路，應用於圖形識別上，可以把兩個不同分類的點，藉由BP找出他的分割線進行區分-This is a type of neural network back-propagation neural network applied to pattern recognition, it can be classified into two different points, by BP to find his distinction between partition l
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NN neural network for face recognition
supervised feed forward back propagation neural network
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This program simulates a 3 or 4-layer Neural Network, and can be used to
simulate an arbitrary, complex, or non-linear function that would be
difficult to implement by traditional methods. The Back Propagation
method is used "teach" the net
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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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Neural network descr iption.
a sample fo back-propagation neural network
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Back-propagation误差反向传播神经网络的学习算法-Back-propagation neural network back propagation learning algorithm
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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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back propagation (neural network)
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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 Neural Network.
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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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feed forward back propagation neural network-feed forward back propagation neural network
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BP神经网路的matlab仿真，该程序用matlab演示了BP神经网络的学习机制。-simulation of Back Propagation neural network
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Back Propagation Neural Network
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