搜索资源列表
nnprune
- This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural network models of dynamic systems. That is networks ％ trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive ％ counterparts.-This function applies the
ANN
- matlab,神经网络，基于RBF网络的动态设计-matlab, neural networks, RBF network based on dynamic design
m341z
- 基于神经网络的传感器建模仿真和传感器动态补偿方法-Sensors based on neural network modeling and simulation, and dynamic compensation method
classpiddistb2
- 该程序在matlab-simulink环境下执行，名为classpiddistb2.mdl，(经典PID的扰动测试)，本人发前期发.m格式文件(NNPIDDistub2.m为神经网络动态pid抗绕程序)，本程序为前期程序的比较程序，已发于本人论文，可供借鉴和学习。-The program matlab-simulink environment, implementation, called classpiddistb2.mdl, (classical PID disturbance test)
MLP
- Online identify the plant dynamic by using intelligent architectures here using MLP architecture neural network for the plant.
RBF
- Online identify the plant dynamic by using intelligent architecture, here using RBF Neural network for the plant.
NNcontrtodemo
- neural networks control of dynamic systems
Complete-collection-of-algorithm
- 算法大全 全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。 主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以
Ten_Commonly_Algorithm_for_MATLAB
- 超过10种MATLAB常用算法：Floyd算法，动态规划,分治算法,概率算法,模拟退火算法,神经网络,搜索算法,贪婪算法,遗传算法,组合算法,-Over 10 types of commonly used MATLAB algorithms: Floyd algorithm, dynamic programming, divide and conquer algorithms, probabilistic algorithms, simulated annealing, neural netwo
mohu-dirct-torque
- 该仿真模型是一种利用模糊控制器调节PWM信号占空比的异步电动机直接转矩控制的策略，即在传统异步电动机直接转矩控制的基础上，用模糊控制器代替传统DTC中的滞环比较器和空间电压矢量状态选择器来细分控制规则，最后控制逆变器的开关，以减小转矩和磁链脉动，从而改善交流异步电机伺服系统的动、静态品质，使整个系统具有较强的鲁棒性和自适应性。-A method of the stator resistance estimate which based on the fuzzy neural network wa
sloding
- 本书从MATLAB仿真角度系统地介绍了滑模变结构控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。 全书共分10章，包括滑模变结构控制发展综述、连续时间系统滑模控制、离散时间系统滑模控制、模糊滑模控制、神经滑模控制、基于反演设计的滑模控制、动态滑模控制、基于干扰估计的滑模控制、Terminal滑模控制以及几种新型滑模控制。 每种控制方法都通过MATLAB仿真程序进行了仿真分析。 - Book from the M
PSOANN
- This a PSO toolbox implementing Common, Clerc 1", and Trelea types along with an alpha version of tracking changing environments. It can search for min, max, or distance of user developed cost function. Very easy to use and hack with re
nueralNetwork
- It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis on models for both identification and control. Static and dynamic backpropagation methods for the adjustme
gdfnn
- GDFNN 即广义动态神经网络 在发酵方面应用的程序-GDFNN generalized dynamic neural networks that process in terms of the application of fermentation
GDFNN
- 伍世虔书上第八章 GDFNN的程序 学习广义动态神经网络的可作参考-Wu Shi Qian book s first eight chapters GDFNN program to learn generalized dynamic neural networks can be used as a reference
neural-network
- Design and implement an RBF recurrent neural network with ten hidden RBF neurons in a single hidden layer for identification of a nonlinear dynamic system. the file include source code and pdf file.
HOP
- Some Example Files Related to Dynamic Neural Network
NARX
- 动态神经网络时间序列例程——用MATLAB实现的NARX-Dynamic Neural Network Time Series Routines- NARX Realized by matlab
narx
- 利用动态神经网络时间序列来预测研究——基于MATLAB的narx的实现-Dynamic neural network time series prediction- MATLAB-based implementation of narx
thesis
- matlab code for localization based dynamic neural network