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Batch version of the back-propagation algorithm.
％ Given a set of corresponding input-output pairs and an initial network
％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the
％ network with backpropagation.
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％ The activatio
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this code for backpropagation on matlab. with indonesian language
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利用随机反向传播网络归类的学习算法。它是LMS算法的自然延伸，也是多层神经网络的有监督训练。-Classify using a backpropagation network with stochastic learning algorithm。
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backpropagation algortihm for fisher data
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Back propagation implementation
for example
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back propagation method
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a matlab code for training a backpropagation neural network
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this a program on matlab backpropagation of error.-this is a program on matlab backpropagation of error.
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backpropagation mlp neural network
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Make a program to train a Backpropagation neural network which simulates the behavior of an XOR gate.
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High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of t
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backpropagation matlab neural networks
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backpropagation code
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A MLP code with backpropagation training algorithm designed for classification problems.
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A MLP code with backpropagation training algorithm designed for aproximation of functions problems.
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MLP backpropagation xor, sin and function approximation.
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A Matlab implementation of a MultiLayer perceptron with backpropagation training with momentum
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backpropagation code in matlab
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The Adaline is essentially a single-layer backpropagation network. It is trained on a pattern recognition task, where the aim is to classify a bitmap representation of the digits 0-9 into the corresponding classes. Due to the limited capabilities of
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backpropagation algotithm
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