搜索资源列表
Prediction_RBF
- 混沌时间序列预测(chaotic time series prediction) RBF神经网络一步预测 - \Prediction_RBF\Main_RBF.m RBF神经网络多步预测 - \Prediction_RBF\Main_RBF_MultiStepPred.m Volterra级数一步预测 - \Prediction_Volterra\Main_Volterra.m Volterra级数多步预测 - \Prediction_Volterra\Main_Volterra
ban-wf22
- 使用matlab实现智能预测控制算法，基于混沌的模拟退火算法，gmcalab 快速广义的形态分量分析。- Use matlab intelligent predictive control algorithm, Chaos-based simulated annealing algorithm, gmcalab fast generalized form component analysis.
pso-GM
- 混沌粒子群算法预测年龄，内容包括预测试用的数据，可以直接运行，方便修改-chaotic particle swarm optimization algorithm
hun-V8.5
- 基于人工神经网络的常用数字信号调制，阐述了负荷预测的应用研究,混沌的判断指标Lyapunov指数计算。- The commonly used digital signal modulation based on artificial neural network, It describes the application of load forecasting, Chaos indicator for Lyapunov index calculation.
OMYIF71
- 用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题-Matlab to make use of statistical chaos method to solve the problem of nonlinear system time series prediction
512806
- 用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题-Matlab to make use of statistical chaos method to solve the problem of nonlinear system time series prediction
dgejrmine-defer-background
- 用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved
lyagk
- 用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved
ccxuc
- 未来线路预测,分析误差,现代信号处理中谱估计在matlab中的使用，混沌的判断指标Lyapunov指数计算。- Future line prediction, error analysis, Modern signal processing used in the spectral estimation in matlab, Chaos indicator for Lyapunov index calculation.
mntersection
- 在MATLAB上实现混沌时间序列的Volterra预测算法 不错的-On MATLAB implementation on the prediction of chaotic time series algorithm is good
aopend
- 基于Volterra滤波器混沌时间序列多步预测 作者：陆振波,海军工程大学-Based on the chaotic time series multi-step prediction filter author: Liu Zhenbo, naval engineering university
www.dssz.com_dssz
- 混沌时间序列预测中的李雅普诺夫指数算法，判断时间序列的混沌特性(The Lyapunov exponent algorithm in chaotic time series prediction is used to determine the chaotic characteristics of time series)
chaosToolBoxVersion2.9
- 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有: (1)产生混沌时间序列(chaotic time series) Logistic映射 - \ChaosAttractors\Main_Logistic.m Henon映射 - \ChaosAttractors\Main_Henon.m Lorenz吸引子 - \ChaosAttractors\Main_Lorenz.m Duffing吸引子 - \ChaosAttractors\Main_Duffing.m Duffin
efbc08dd5d5e
- 1、LorenzData.mat - Lorenz 离散序列的数据文件，5000个点，内有变量：x,y,z 2、Volterra_main_luzhenbo.m - Volterra自适应预测主文件 3、Volterra_train.m - Volterra自适应预测训练部分 4、Volterra_test.m - Volterra自适应预测测试部分 5、PhaSpaRecon.m -混沌序列的相空间重构 6、TrainTestSample.m -相空间中点的轨迹分解成：训练样本与测试
sitay_calculating
- C-C方法计算时间延迟和嵌入维数计算Lyapunov指数计算关联维数混沌时间序列预测,(C - C time delay and embedding dimension method to calculate the Lyapunov index calculating correlation dimension chaotic time series prediction,)
timetwethr
- 在MATLAB上实现混沌时间序列的Volterra预测算法 不错的(On MATLAB implementation on the prediction of chaotic time series algorithm is good)
ltefcij
- 基于Volterra滤波器混沌时间序列多步预测 作者：陆振波,海军工程大学(Based on the chaotic time series multi-step prediction filter author: Liu Zhenbo, naval engineering university)
817671
- 用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题(Matlab to make use of statistical chaos method to solve the problem of nonlinear system time series prediction)
achtevedkchieveu
- 用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果(Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved)
krmsentation
- 混沌时间序列分析与预测工具箱,包括了混沌时间序列分析的很多方法和预测方法,()