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三层前馈神经网络的BP算法。程序具有以下功能：
（1） 允许选择各层节点数；
（2） 允许选用不同的学习率η；
（3） 能对权值进行初始化，初始化用[-1、1]区间的随机数；
（4）允许选用单极性和双极性两种不同Sigmoid型转移函数。
-Three-tier feed-forward neural network BP algorithm. Procedures have the following functions: (1) allows to choose the
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光伏并网系统单相逆变器电压前馈电流控制，基于matlab 7.3 。-photovotaic grid-connected system single-phase inverter voltage feed forward current control,based on matlab 7.3
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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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These are matlab and simulink files to model the membrane crystallization system, including the matlab file to get the optimation point of this system, and 3 simulink files, which are static model and 2 dynamic models. There has PID control and feed
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采用CMAC前馈网络，将CMAC和PID结合起来对系统进行前馈控制-CMAC using feedforward networks, will combine the CMAC and PID of the feed-forward control system
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matlab动量梯度下降算法
生成一个新的前向神经网络
对BP神经网络进行训练
对BP神经网络进行仿真-Momentum matlab gradient descent algorithm to generate a new feed-forward neural networks trained BP neural network on the BP neural network simulation
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NN neural network for face recognition
supervised feed forward back propagation neural network
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两层前馈网络，采用Hebb算法，实现机组协调控制-Two-tier feed-forward networks, Hebb algorithm used to achieve coordinated control
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Perceptron LMS Feed Forward Back Propagation Character Recognition
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带前馈的PID算法，MATLAB语言编写，仿真效果不错。-With feed-forward PID algorithm, MATLAB language, simulation results are good.
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RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) impleme
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feed forward back propagation neural network-feed forward back propagation neural network
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feed forward programing in matlab
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BP神经网络，用于函数逼近。程序中先用一定间隔的函数数值对神经网络进行训练，待算法大致收敛后，然后用测试数据进行测试。并输出函数逼近的误差-BP feed-forward backpropagation network，which is used to approximate function.
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针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes:
- Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
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基于矢量控制算法的永磁同步电机电压前馈PI控制模型，可作为算法开发的基础模型。(The voltage feed-forward PI control model of PMSM based on vector control algorithm can be used as the basic model of algorithm development.)
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