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人工神经网路两层反向传播BP算法实现函数逼近，matlab编写-two back-propagation algorithm BP function approximation, the preparation of Matlab
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I HAVE UPLOADED A MATLAB PROGRAM FOR LOAD FLOWS USING BACK PROPAGATION ALGORITHM
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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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伺服电机的神经网络参数自整定程序，利用BP误差反向传播算法改变PID 控制参数以获得优越的控制效果-Servo motor parameters of the neural network self-tuning procedures, the use of error back-propagation algorithm BP to change PID control parameters for superior control
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实验中使用随机反向传播算法对构造的神经网络进行学习，最终得到构造的神经网络的权值矩阵。-Experiment using the random back-propagation algorithm to construct the neural network learning, the final structure of the neural network obtained the weight matrix.
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Back propagation Algorithm.3 layer feed forward network
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a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
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algorithm of Back Propagation -algorithm of Back Propagation NN
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bP网络,网络的训练算法是反向传播算法，即神经元的链接权重的训练是从最后一层-BP network, network training algorithm is BP back propagation algorithm, i.e., neurons in the link weight training is from the last layer
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基于bp网络的最大误差逆向传播算法的实现-Maximum error back- propagation algorithm implementation based on BP network
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BP（Back Propagation）网络是1986年由Rumelhart和McCelland为首的科学家小组提出，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。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。-
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The simulink model of Back propagation Algorithm using an Adaptative Filter.
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Back Propagation algorithm with inersi approch
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adaptive Back Propagation algorithm
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matlab mfile for Back Propagation algorithm no need for the neural network toolbox
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Example of Back Propagation Algorithm
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training a neural networks using error back propagation algorithm
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BP网络是一种按误差逆传播算法训练的多层前馈网络，目前应用较为广泛。它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。本文讲述了一种关于BP神经网络应用实例。-BP network is a back propagation algorithm by former Multilayer feedforward network, currently used more widely.They can learn and store a lot of input-
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This very basic example of TSK in Matlab which has one input with 4 membership functions. It shows dynamically how the Back Propagation Algorithm converge-This is very basic example of TSK in Matlab which has one input with 4 membership functions. It
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