搜索资源列表
time_serial
- 哦用java写的时间序列模型预测的算法程序，（基于季节波动的时间序列模型）-used to write java time series model predictive algorithm procedures (based on the seasonal fluctuations of the time series model)
结果分析演示系统
- 用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现-BP neural network simulation sales forecasts, sales data can be right for time series prediction, using VC
混沌时序多步预测函数
- 混沌时序多步预测函数的MATLAB程序,对于研究混沌时间序列的朋友来说是个好程序-Chaos forecast sequential multi-step procedures MATLAB functions for research chaotic time series of friends is a good procedure
同时计算关联维和Kolmogorov熵
- 关于非线性时间序列中同时计算关联维和Kolmogorov熵的程序,-on nonlinear time series simultaneously calculate the correlation dimension and Kolmogorov entropy procedures,
AOLMM
- 基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力-based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm
predict_fun
- 基于均值生成函数时间序列预测算法程序 1. predict_fun.m为主程序 2. timeseries.m和 seriesexpan.m为调用的子程序 -function based on the mean generation time series prediction algorithm for a procedure. Predict_fun.m mainly procedures 2. Timeseries.
Volterraprediction
- 小数据量法求混沌吸引子最大Lyapunov指数的Matlab程序，参考文献：张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03-small data method for chaotic attractor largest Lyapunov exponent of Matlab procedures References : Zhang Shu. The chaotic time series Volterra
Volterraprediction1
- 混沌时间序列的Volterra一步预测的Matlab程序-chaotic time series forecast Volterra step procedure Matlab
Volterra_hwg
- 在MATLAB上实现混沌时间序列的Volterra预测算法-in MATLAB achieve chaotic time series prediction algorithm Volterra
Mutual_Information
- 利用互信息法求得混沌时间序列相空间重构最优化时延的Matlab程序-use of mutual information obtained chaotic time series reconstruction phase space optimization procedures Matlab Delay
EmbeddingDimension_Cao
- 基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维的Matlab程序-Cao method, based on the chaotic time series reconstruction phase space optimization of the embedded peacekeeping procedures Matlab
ApEn
- 针对时间序列的复杂性测试，实现近似熵算法，可以分析确定信号和随机信号-time series against the complexity of testing, achieving approximate entropy algorithm, can be analyzed to determine signal and random signals
fast_ApEn
- 针对时间序列的复杂性测试，实现快速近似熵算法，可以分析确定信号和随机信号，速度打打提高-time series against the complexity of testing, rapid approximate entropy algorithm, can be analyzed to determine signal and random signals, improving speed of play
sunspot1
- 太阳黑子模型，采用时间序列，最小二乘法拟和，BIC检验，效果奇佳-sunspot model, time series, and the least squares method to be, BIC inspection work wonders
Logistic_chaos
- 产生Logistic混沌时间序列的matlab程序-have Logistic chaotic time series Matlab procedures
Henon_chaos
- 产生Henon混沌时间序列的matlab程序-have Henon chaotic time series Matlab procedures
Chens_chaos
- 产生chens混沌时间序列的matlab程序-have chens chaotic time series Matlab procedures
Duffing_chaos
- 产生Duffing混沌时间序列的matlab程序-have Duffing chaotic time series Matlab procedures
Lorenz_chaos
- 产生Lorenz混沌时间序列的matlab程序-have Lorenz chaotic time series Matlab procedures
Rossler_chaos
- 产生Rossler混沌时间序列的matlab程序-have Rossler chaotic time series Matlab procedures