Description: 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance of the rationale On the basis for the power system load nonlinear time series forecasting methods in literacy research should give importance to the use of paper Based on wavelet theory and NN fusion principle is the forecast of strong nonlinear time series by the dialectical capacity of research and simulation shows it can effectively improve the accuracy of forecasts Platform: |
Size: 92962 |
Author:bluebowl |
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Description: 用斜率的方法来求时间序列的lyapunov exponent,在非线性动力学和时间序列处理中经常用到。很实用的小程序。-slope of the methods used to the time series for the lyapunov exponent. Nonlinear Dynamics and the time sequence processing frequently used. Very small practical procedures. Platform: |
Size: 1024 |
Author:贾强 |
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Description: an analysis software with souce code for the time series with methods based on the theory of nonlinear deterministic dynamical systems, or chaos theory.这套软件源码是根据H. Kantz and T. Schreiber, ``Nonlinear Time Series Analysis , Cambridge University Press, Cambridge (1997). -an analysis software with souce code for the time series with methods based on the theory of nonlinear deterministic dynamical systems, or chaos theory. The software source code is based on H. Kantz and T. Schreiber, `` Nonlinear Time Series Analysis, Cambridge University Press, Cambridge (1997). Platform: |
Size: 806912 |
Author:allen |
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Description: Ridge Regression RR 岭回归估计，是非常有用的非线性时间序列算法，在局部多项式预测中非常有用。-Ridge Regression RR ridge regression estimates, it is useful to nonlinear time series algorithms, in Local Polynomial prediction in very useful. Platform: |
Size: 1024 |
Author:zhxj |
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Description: ％ [nearest_neighbours] = find_nearest_neighbours( database, desc, max_dist )
％ Find the indices of the nearest neighbours of the given desriptors in the近邻点寻找算法，在非线性时间序列中很有用，是常用的算法- [Nearest_neighbours] = find_nearest_neighbours (database, desc, max_dist) Find the indices of the nearest neighbours of the given desriptors in the neighbor-point search algorithm, the nonlinear time series of very useful, is a commonly used algorithm Platform: |
Size: 1024 |
Author:zhxj |
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Description: 产生Lorenz混沌序列,为下一步非线性时间序列研究打下基础-Construct Lorenz chaotic seris for the research of nonlinear time series. Platform: |
Size: 1024 |
Author:huguangbo |
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Description: 用于非线性时间序列分析的matlab代码，希望有人喜欢。NTSA是nonlinear time series analysis的简写。-For nonlinear time series analysis of the matlab code, I hope some people like. NTSA is a nonlinear time series analysis of shorthand. Platform: |
Size: 274432 |
Author:liuyang |
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Description: 关于非线性时间序列数据分析与应用英文文献资料-On nonlinear time series data analysis and application of English literature Platform: |
Size: 2850816 |
Author:ldw |
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Description: 文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。-This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear
mapping of deterministic chaos is identified by the multilayer perceptron of an artificial neural network. The proposed approach is demonstrated in an example. Platform: |
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Author:will |
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Description: Nonlinear time series analysis. chaos theory on how to embedding dimension ant time delay.Calculation of lyapunov exponent Platform: |
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Author:rosan |
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Description: 时间序列预测分析法在建立非线性模型进行经济预测方面受
到广泛的重视和研究。而作为其重要分支之一的指数平滑法，因为操作简
单、适用性强、性能优良、应用广泛而成为经典的预测与控制模型
-The analysis of time series forecasting economic forecasts in a nonlinear model received wide attention and research. And as one of the important branch of the exponential smoothing, simple operation, applicability and excellent performance, wide range of applications to become a classic prediction and control models Platform: |
Size: 3500032 |
Author:毛玉凤 |
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Description: (股市)非线性分析及预测工具箱，整合了原非线性时间序列分析工具箱程序，包含多个复杂度分析(如Higuchi法、计盒法)，相空间重构(Cao法、GP算法、互信息法)，最大李雅普诺夫指数判断(Wolf法、小数据法)和预测程序(lyp指数法、一次多步预测等)，程序执行效率高，实测可用。-Nonlinear analysis and prediction toolbox (stock market), the integration of the original nonlinear time series analysis toolbox program contains a number of complex analysis (Higuchi method, box-counting method), the phase space reconstruction (Cao Act, GP algorithm, mutual information method), the largest Lyapunov exponent judge the (Wolf Law, small data), and the prediction program (lyp index, a multi-step prediction), the high efficiency of the program, the measured available. Platform: |
Size: 39936 |
Author:十天半个月 |
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Description: 一本关于非线性时间序列分析的书籍，本来论坛有人上传过，但不能下载了。-One on nonlinear time series analysis of books，Originally it was uploaded, but can not download Platform: |
Size: 2875392 |
Author:陈寒 |
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Description: 比较分析了传统滤波方法对金融数据去噪的缺陷 , 提出采用小波分析对金融时间序列进行去噪 。根 据 Donoho 提出的小波去噪中的非线性阈值理论 , 结合金融时间序列的特点 , 分析了相应去噪参数的选取问题 。 以深圳成份指数数据为例进行实验 , 结果表明了该方法的有效性 -This paper analyzes the shortcomings of traditional filtering methods in denoising financial data, and proposes the denoising of financial time series using wavelet analysis. According to Donoho s theory of nonlinear threshold in wavelet denoising and the characteristics of financial time series, the selection of corresponding denoising parameters is analyzed. Taking Shenzhen component index data as an example, the results show that the method is effective Platform: |
Size: 9216 |
Author:李云 |
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Description: 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法。它一般采用曲线拟合和参数估计方法（如非线性最小二乘法）进行。时间序列分析常用在国民经济宏观控制、区域综合发展规划、企业经营管理、市场潜量预测、气象预报、水文预报、地震前兆预报、农作物病虫灾害预报、环境污染控制、生态平衡、天文学和海洋学等方面。(Time series analysis is the theory and method of establishing mathematical model by curve fitting and parameter estimation according to time series data obtained from system observation. It usually uses curve fitting and parameter estimation methods (such as nonlinear least squares). Time series analysis is commonly used in the national economy macro control, regional comprehensive development planning, enterprise management and market potential prediction, weather forecasting, hydrological forecasting, earthquake prediction, pest disaster forecasting, environmental pollution control, ecological balance, astronomy and oceanography etc..) Platform: |
Size: 1555456 |
Author:Terrier
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Search - nonlinear time series