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bp-ann
- 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.
adalineNN
- 比较详细的一个多层前馈网络程序，可扩展性比较强，-a multilayer feed-forward network programming, scalability relatively strong,
feed
- 神经网络控制器设计程序以及性能测试仿真程序-neural network controller design process simulation and performance testing procedures
ANNBP
- 前馈神经网络算法-feed forward neural network algorithm
MODELING_AND_SIMULATION
- Coaxial feed structures are widely used in ultra-wide band antennas . This paper modeled the characteristic of the monopole antenna feeded by coaxial line by FDTD in the time-domiain,which showes that . Firstly, it introduced the theory of the arithm
ANN_Matlab
- 书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源码文件
bp.rar
- BP神经网络自适应步长训练算法，采用最小误差法，梯度下降法，自适应调节权值,BP neural network training anaysis, is realized by using error feed back, gradient descent applied updating of synaptic weights
bp3
- 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
DSTATCOM_SVPWM_CONVER
- 1、基于Ip/Iq方法控制PWM整流器，实现有功无功解耦控制，实现直流电容的稳压控制。 2、分别采用滞环电流和电压空间矢量技术进行PWM调制 3、DSTATCOM无功补偿仿真验证 4、系统采用了在带有前馈解耦控制的基础上产生的电压电流双闭环控制结构，其中电压外环保证了稳定的直流输出，电流内环提高了电流的动态响应速度，并且这种控制方法使电流的相位和输入电压的相位保持一致。-1, based on Ip/Iq way to control the PWM rectifier to
inverter_control
- 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
ebp1
- 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
nn
- NN neural network for face recognition supervised feed forward back propagation neural network
programs
- Perceptron LMS Feed Forward Back Propagation Character Recognition
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) impleme
REGSPEED
- THE REGULATOR OF SPEED OF DOUBLE FEED INDUCTION GENERATOR
backprop_algo
- Back propagation Algorithm.3 layer feed forward network
ijrte0206121124
- 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 us
newff
- feed forward back propagation neural network-feed forward back propagation neural network
PFC feed forward
- PFC with true feed forward
a_feedforward_neural
- a feed forward neural network in Maple