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backpropagation algorithm program
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BP neural code
the backpropagation algorithm nwueal implementation in matlab, the code for training element wise
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A MLP code with backpropagation training algorithm designed for classification problems.
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A single perceptron 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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Classify using a backpropagation recurrent network with a batch learning algorithm
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BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm.
The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).-Backpropagation neural network with one hidden layer for multivariate calibration. (Desig
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backpropagation algorithm
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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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algorithm of backpropagation demo
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Tran a neural network using a combination of PSO and backpropagation algorithm
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backpropagation algorithm for train nn
but it have some problem. its need to redo
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Creating perceptron and BackPropragation Algorithm in matlab
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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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