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Neural-network-
- 神经网络的前馈控制仿真，模型是空间漂浮基机器人手臂的动力学方程-The neural network feedforward control simulation model, the model is floating space, the dynamic equations of a robotic arm
method
- 一类新离散混沌系统的前馈控制方法A new class of discrete chaotic systems feedforward control method-A new class of discrete chaotic systems feedforward control method
ffc-1.4.tar
- Key Features * Neural network design, training, and simulation * Pattern recognition, clustering, and data-fitting tools * Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and laye
PID-SIMULATION
- 控制规律的选用要根据过程特性和工艺要求来选取，决不是说PID控制规律在任何情况下都具有较好的控制性能，不分场合都采用是不明智的。如果这样做，只会给其它工作增加复杂性，并给参数整定带来困难。当采用PID控制器还达不到工艺要求，则需要考虑其它的控制方案。如串级控制、前馈控制、大滞后控制等。 -Choice of control law according to process characteristics and process requirements to select, does not
EE-583-Optional-Homework_Basaran
- Effect of number of hidden layer neurons on feedforward -Effect of number of hidden layer neurons on feedforward nn
cd4ef1.ZIP
- 中频下双级矩阵变换器整流级相位前馈校正算法If two stage matrix converter rectifier stage phase feedforward correction algorithm-If two stage matrix converter rectifier stage phase feedforward correction algorithm
BPNN
- 是BP神经网络程序：BP神经网络模型是一个多层感知机构，是由输入层、中间层（隐层）和输出层构成的前馈网络，只含有一个中间层的BP神经网络模型。-BP neural network program：BP neural network model is a multi-layer perceptron institutions, is the input layer, middle layer (hidden layer) and output layer feedforward network,
ELM
- 神经网络中的前馈神经神经网络的elm 算法-The neural network feedforward neural neural network algorithm of the elm
face-recognitionamatlab-program
- 人脸识别，基于神经网络，代码很精练。 NEWFF——生成一个新的前向神经网络 TRAIN——对 BP 神经网络进行训练 SIM——对 BP 神经网络进行仿真 - The NEWFF- Generate a new feedforward neural network TRAIN- BP neural network training, the SIM- BP Neural Network Simulation
asg2_01
- Feedforward PID controller using matlab
BPneural-network
- 使用MATLAB神经网络工具箱创建了前馈型三层BP神经网络。在这一部分，本文还介绍了如何实现VB与MATLAB的集成，并编写了程序。该程序可实现对新产品的模拟评价，并得到预测结果。这种模拟评价可大大提高食品配料研发的效率。-Use MATLAB toolbox created feedforward neural network type three BP neural network. In this part, this paper also introduces how to realiz
NeuralNetwork
- neural network feedforward source code in java
bp-matlab
- bp的matlab源代码 多层前馈网络用于图像压缩的网络模型、原理、算法及关键技术，并通过仿真实验说明了在BP神经网络图像压缩中，算法、激活函数和压缩率等参数的选择是至关重要的，它们与收敛时间以及重建图像的压缩性能息息相关。-the multilayer feedforward network for image compression network model, theory, algorithm and key technologies, by simulation illustrates
tp7-Tp-Filtros
- Matlab Filter Implementation In this section, we will implement (in matlab) the simplest lowpass filter $\displaystyle y(n) = x(n) + x(n-1),\ n=1,2,\ldots,N $ (from Eq.$ \,$(1.1)). For the simplest lowpass filter, we had two program li
GestureApp
- 利用前向多层人工神经网络实现鼠标姿势识别。-Feedforward multilayer neural network and mouse gesture recognition
NeuralNetworkPropagation
- Neural Network Applet Learning examples on feedforward networks recurrent Backward Propagation
Fcmaczipe
- 采用CMAC前馈网络，将CMAC和PID结合起来来对系统进行前馈控制 ，经测试可直接使用。 -CMAC feed-forward network, CMAC and PID combined feedforward control, the system has been tested and can be used directly.
compensation-of-dead-time
- 交流伺服系统中的死区效应分析与补偿分析了逆变器的死区效应产生的原因及其对交流伺服系统控制性能产生的影响,指出死区补偿的关键 在于电流相位的获取,为了克服实际系统中电流零点的模糊性,提出了一种基于两相静止坐标系下的前馈死 区补偿方法. 该方法通过对三相输出电流一个周期内补偿电压进行傅里叶变换,发现仅需补偿1 ,5 ,7 次谐波 分量即可消除死区效应. 仿真和试验结果验证了这种方法的正确性和可行性.-AC servo system analysis and compensation of
Tbp2h
- 利用粒子群PSO算法，设计一个使得前向神经网络的的训练得到最优问题。 -Using particle swarm PSO algorithm design one makes the feedforward neural network training optimization problem. , Tested
ccdd
- 前馈调节与反馈调节相比较,其中的一个差异是:系统质量对对象特性参数或调节器参数的变化的敏感程度前者强于后者。-Feedforward adjustment and feedback regulation comparison, one of the differences are: the change of the system the quality of the object characteristic parameters or the regulator parameter and