搜索资源列表
Volterra-PSR
- Volterra_混沌序列的相空间重构程序,利用matlab编程,可以将一维时间序列重构到高维空间,挖掘出隐含的信息,提高预测精度,以Volterra混沌序列为例,展示混沌的美妙-Phase space reconstruction program, Volterra_ chaotic sequence using matlab programming, refactoring can be one-dimensional time series into a high dimensional
chaos333
- 混沌理论预测方法,可以进行多步骤预测,方便使用,很用的工具。-chaos a very good sofeward if you have you will find very goog
chaosmatalb666
- 用于混沌时间预测一个很好的工具。可以求时间延时和时间窗。非常好用的一个预测工具-a very good software.which can make something more good.and make somebody know much
chaos56
- 用于混沌开发。混沌方式识别的一个matlab程序。十分好用。可以准确预测数据-a very good software which can make more strong and more popular. more good
choas
- 混沌时间序列分析与预测工具箱 Version1.2-Chaotic time series analysis and prediction toolbox Version1.2
prediction_one_step
- 混沌序列与一步预测值, 一步预测RBF神经网络-Chaotic sequence with step pre-
Dchaos-predica
- 基于混沌理论进行数据预测的程序,欢欢迎需要的朋友参考下载,并提出修改意见 -, Please feel welcome the reference to a friend download data to predict the process based on chaos theory, and suggest modifications
lorenz
- 产生混沌时间序列,常用来测试算法函数逼近及预测能力的测试-Produce chaotic time series
Predict
- 混沌动力学中,局域法的多步预测方法,做了修正-Chaotic dynamics, multi-step prediction method for local law amended
cnn
- 用混沌理论和神经网络进行短期负荷预测时,神经网络的输入的选择至关重要,该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-Chaos theory and neural network short-term load forecasting, neural network input is essential to choose the program implemented in matlabl choice of embedding dimension based on chaot
1010280956fe8fe2fe0827f49e
- 基于混沌时间序列的神经网络预测,包括一步和多步预测算法-Based on neural network prediction of chaotic time series, including step and multi-step prediction algorithm
abbr
- 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测-This procedure is based on chaos theory and ELMAN neural network short-term load forecast
Prediction_Volterra
- 混沌时间序列预测-Volterra级数一步及多步预测-Progression step and multi-step prediction of chaotic time series prediction-Volterra
Prediction_RBF
- 混沌时间序列预测(chaotic time series prediction)RBF神经网络一步预测 -Step prediction of chaotic time series prediction (chaotic time series prediction) RBF neural network
chaossuijishu
- 利用混沌对初始值的敏感性,使得利用混沌产生的随机数具有更高的安全性和不可预测性。-chaos initial value sensitivity, makes use of chaotic generated random number has a higher security and unpredictability.
fractal-predict-pdf
- 该文章从混沌和分形的关系出发,基于奇异吸引子的分形结构和时间序列的自仿射特性,提出了一种混沌时间序列的预测方法。采用迭代函数系统跟踪混沌的局部运动轨迹,由此确定统计意义上放射性能最优的时间序列段,并分局吸引子定力和拼贴定理建立预测模型。-This article from the chaos and fractal relationship starting, based on the characteristics of self-affine fractal structure and ti
wzrh
- (1)针对在线计算量大这一缺陷,将预测控制中的柔化输出信号的思想推广到柔化输入信号,使得约束条件被简化为仅对当前控制量的约束,可以直接计算得出;同时该方法避免了求逆矩阵,大大减小了计算量,并能够保证控制算法的可行性和良好的控制性能。 (2)针对传统算法中设计参数整定困难这一缺点,应用基于BP神经网络变参数设计的广义预测控制算法,实现了对控制量柔化参数的在线调整。 (3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用,可考虑利用其他优化系统
ChaosToolbox2p0_trial
- 这是混沌时间序列预测的工具箱,里面有测量关联维数的GP方法,还有测量延迟时间t的时序法,有C_C方法这种可以来测量两者的方法。-This is the chaotic time series prediction toolbox, which has measured correlation dimension GP method, as well as measuring the delay time t timing method, there C_C Method This method
hundunshijianyuce
- 混沌时间序列的Volterra级数多步预测研究,混沌理论认为在混沌系统中,初始条件的十分微小的变化经过不断放大,对其未来状态会造成极其巨大的差别。 -Volterra series of chaotic time series multi-step prediction, chaos theory is that in the chaotic system, the initial conditions of very small changes through continuous zoom,
LyapunovIndex
- 运用李亚普诺夫指数分析混沌系列并进行预测-lyapunov index analysis and chaos series predict