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Description: 鲁棒控制器设计，由于RBF网络可以实现任意逼近的非线性关系，它的目标是要做到误差平方和最小，与非线性PCA的目标一致，所以上述非线性PCA的模型可以通过采用两个RBF网络来实现非线性正变换 和反变换 。RBF网络是一个三层前馈网络，隐层采用径向基函数作为激励函数。第一个RBF网络把高维空间的数据映射到低维空间（如图4），第二个RBF网络将前面网络输出的低维空间数据再映射到高维空间，实现数据恢复(如图5)。这两个网络分别进行训练。-robust controller design, as RBF networks can achieve arbitrary nonlinear approximation, Its goal is to achieve the minimum squared error, and nonlinear PCA have the same goal So these nonlinear PCA model may be adopted by two RBF networks to achieve nonlinear transformation and inverse transform. RBF network is a feed-forward network, hidden layer RBF function as an incentive. RBF a network of high-dimensional data mapping space to the low-dimensional space (figure 4), second RBF network will be in front of the output of low-dimensional space mapping data again to a high-dimensional space. data Recovery (figure 5). The two networks separately for training.
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Size: 1549 |
Author: 浇洒距离 |
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Description: 本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法,用户可在文件中设置相应参数.-this program back to an error in transmission feed-forward neural network algorithm for the study guide, users can set up in the document corresponding parameters.
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Size: 474983 |
Author: 彭斌 |
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Description: 本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法,用户可在文件中设置相应参数.-this program back to an error in transmission feed-forward neural network algorithm for the study guide, users can set up in the document corresponding parameters.
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Size: 475136 |
Author: 彭斌 |
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Description: Feed Forward Neural Network 例子-Feed Forward Neural Network examples
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Size: 4096 |
Author: |
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Description: bp神经网络算法是解决最优化问题的先进算法之一，本论文讨论了神经网络中使用最为广泛的前馈神经网络。其网络权值学习算法中影响最大的就是误差反向传播算法（back-propagation简称BP算法）。BP算法存在局部极小点，收敛速度慢等缺点。基于优化理论的Levenberg-Marquardt算法忽略了二阶项。该文讨论当误差不为零或者不为线性函数即二阶项S(W)不能忽略时的Hesse矩阵的近似计算，进而训练网络。-bp neural network algorithm to solve optimization problems, one of the advanced algorithm, the paper discusses the neural network in the most widely used feed-forward neural network. Its network weights learning algorithm in the greatest impact is the error back-propagation algorithm (back-propagation algorithm referred to as BP). BP algorithm for the existence of local minimum points, such as the shortcomings of slow convergence. Optimization theory based on the Levenberg-Marquardt algorithm ignores the second-order item. In this paper, the discussion when the error is not zero or not that is second-order linear function of S (W) can not be ignored when the Hesse matrix of approximate calculation, and then training the network.
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Size: 19456 |
Author: 刘慧 |
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Description: 基于RBF神经网络整定的PID控制
径向基函数具有单隐居的三层前馈网络。是—种局部逼近网络，己证明它能以任意精度逼近杠意连续函数。
-RBF neural network based tuning of PID control of radial basis function with the seclusion of the three single-feed-forward network. Yes- different local approximation network, it has been proved to arbitrary precision bars intended continuous function approximation.
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Size: 1024 |
Author: feiyang |
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Description: 三层前向神经网络的权值训练方法
变步长的bp法
-Three feed-forward neural network training method of the right to change the value of the bp-step method
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Size: 5120 |
Author: dongenzeng |
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Description: 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 number of nodes on each floor (2) allows selection of different learning rate η (3) be able to initialize the weights, initialized by [-1,1] interval random number (4) to allow selection of unipolar and bipolar type two different Sigmoid transfer function.
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Size: 1024 |
Author: Mingruixia |
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Description: 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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Size: 1024 |
Author: 舒 |
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Description: NN neural network for face recognition
supervised feed forward back propagation neural network
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Size: 1024 |
Author: mony |
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Description: simple feed forward multilayer network
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Size: 1024 |
Author: shahrani shahbudin |
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Description: Perceptron LMS Feed Forward Back Propagation Character Recognition
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Size: 14336 |
Author: ssss |
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Description: 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) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim- 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) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim
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Size: 63488 |
Author: hacen |
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Description: 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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Size: 11264 |
Author: 冯 博 |
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Description: 两级前馈神经网络训练的M文件代码，代码后都有注释，用户只需修改训练条件以及前面需要训练的数据即可，是典型的神经网络，下载后直接复制到M文件即可运行成功！是学习神经网络控制的必备-Two feed-forward neural network training M-file code, code has a comment, users only need to modify the training conditions and the need to train before the data can be, is a typical neural network, download files directly copied to M can be run successfully ! Is essential for learning neural network control
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Size: 5120 |
Author: 大冰 |
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Description: Back propagation Algorithm.3 layer feed forward network
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Size: 1024 |
Author: sara |
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Description: Abstract-This paper introduces the new concept of Artificial
Neural Networks (ANNs) in estimating speed and
controlling the separately excited DC motor. The neural
control scheme consists of two parts. One is the neural
estimator, which is used to estimate the motor speed. The
other is the neural controller, which is used to generate a
control signal for a converter. These two networks are
trained by Levenberg-Marquardt back propagation
algorithm. Standard three layer feed forward neural
network with sigmoid activation functions in the input and
hidden layers and purelin in the output layer is used.
Simulation results are presented to demonstrate the
effectiveness and advantage of the control system of DC
motor with ANNs in comparison with the conventional
control scheme.
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Size: 490496 |
Author: amidi |
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Description: feed forward back propagation neural network-feed forward back propagation neural network
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Size: 3072 |
Author: ali |
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Description: a feed forward neural network in Maple
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Size: 192512 |
Author: mdodo
|
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Description: This paper deals with control of the fuel cell stack with DC/DC boost converter ... Feed-forward and feedback controllers of the fuel cell system are designed ... of the boost converter is realized through its input voltage, using fuel cell stack as an
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Size: 10877 |
Author: suri270 |
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