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[WEB Code] chaotictimeseriesprediction DL : 1: 混沌时间序列局域法多步预报模型.doc(有程序下载) 针对混沌时间序列预测中用加权一阶局域法单步预报模型进行多步预报时计算量大且存在误差累积效应的不足，本文提出了基于相空间重构技术的局域法多步预报模型，包括加权一阶局域法多步预报模型和RBF神经网络多步预报模型。对几种典型混沌序列的预测仿真表明，两种模型对混沌时间序列的多步预报均较有效。 -chaotic time series Local Law multi-step prediction model. Doc (with the download) against chaotic time series prediction using a weighted-Local law single-step prediction model multi-step forecast at large calculation error and the cumulative effect of the shortage, In this paper, based on the phase-space reconstruction of local law multi-step prediction model Weighted including a local law-order multi-step prediction model and RBFNN multi-step prediction model. Several typical of the chaotic sequence forecast simulation shows that the two models of chaotic time series multi-step prediction than effective.
Update : 2008-10-13 Size : 140.3kb Publisher : 呆雁
[Documents] chaotictimeseriesprediction DL : 0: 混沌时间序列局域法多步预报模型.doc(有程序下载) 针对混沌时间序列预测中用加权一阶局域法单步预报模型进行多步预报时计算量大且存在误差累积效应的不足，本文提出了基于相空间重构技术的局域法多步预报模型，包括加权一阶局域法多步预报模型和RBF神经网络多步预报模型。对几种典型混沌序列的预测仿真表明，两种模型对混沌时间序列的多步预报均较有效。 -chaotic time series Local Law multi-step prediction model. Doc (with the download) against chaotic time series prediction using a weighted-Local law single-step prediction model multi-step forecast at large calculation error and the cumulative effect of the shortage, In this paper, based on the phase-space reconstruction of local law multi-step prediction model Weighted including a local law-order multi-step prediction model and RBFNN multi-step prediction model. Several typical of the chaotic sequence forecast simulation shows that the two models of chaotic time series multi-step prediction than effective.
Update : 2025-02-17 Size : 140kb Publisher : 呆雁
[AI-NN-PR] ga-bp DL : 0: 程序名：ga_bp_predict.cpp 描述：采用GA优化的BP神经网络程序，用于单因素时间序列的预测,采用了单步与多步相结合预测说明：采用GA(浮点编码)优化NN的初始权值W[j][i],V[k][j]，然后再采用BP算法优化权值-Program name: ga_bp_predict.cpp Description: The GA-optimized BP neural network procedure for single-factor time series prediction using the single-step and multi-step prediction combining Description: using GA (floating point coding) to optimize the initial NN weights W [j] [i], V [k] [j], then BP algorithm to optimize the use of weights
Update : 2025-02-17 Size : 6kb Publisher : fk774
[Software Engineering] xindeDMC DL : 0: :针对时滞系统的特点和采用神经网络单值预测控制存在的不足,提出了多步超前预测与补偿的控制算法,有效地增加了控制力度,改善了动态性能,并论述了增加的预测与补偿步数与稳定的关系 -With regards to the characteristics of time-delay system and the weakness of single predictive control, this pa- per puts forward a control scheme of multi-step-ahead prediction and compensation, which increases control power effectively, and improves dynamic characteristics ofthe system. The paper also discusses the relationship between the step number of predic- tion and compensation and the stability of systems
Update : 2025-02-17 Size : 1kb Publisher : liubo
[Other] DSP_zuixiaoercheng DL : 0: 最小二乘窄带干扰消除。有用信号是一个点状目标，产生窄带干扰采样，产生高斯白噪声，设计一个M=100个系数的单步(D=1)线性预测器，再用得到的线性预测器来消除图中被干扰的信号x(n)中的噪声。-Least Squares narrowband interference cancellation. The useful signal is a target point, narrow-band interference is sampled Gaussian white noise, the design of a M = 100 coefficients in a single step (D = 1) linear predictor, then the obtained linear prediction filter to eliminate the interference graph the signal x (n) the noise.
Update : 2025-02-17 Size : 1kb Publisher : susan
[matlab] main_shijianxulie DL : 0: ARMA预测时间序列，基于单步预测的ARMA时间序列代码-ARMA model to predict time series, based on single-step prediction of time series ARMA model code
Update : 2025-02-17 Size : 1kb Publisher : antry
[matlab] SISO_MPC DL : 0: 单输入单输出有约束的模型预测控制算法，阶跃响应动态矩阵预测模型，优化算法采用有效集法求二次规划问题(Single input and single output constrained model predictive control algorithm, step response dynamic matrix prediction model, optimization algorithm using effective set method to solve the two time programming problem)
Update : 2025-02-17 Size : 5kb Publisher : leafrise