Description: 时间序列AR模型预测的matlab源文件，可直接运行，有仿真结果。-Time series prediction of the AR model matlab source file, can be directly operation, the simulation results. Platform: |
Size: 398336 |
Author:王宝强 |
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Description: 混沌时序多步预测函数，采用matlab编程，简单易懂-Chaotic time series multi-step prediction function, using the Matlab programming, easy to understand Platform: |
Size: 219136 |
Author:王建华 |
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Description: 本文主要研究 LS-SVM 算法的基本原理及基于其实现时间序列预测
的方法。针对超参数选择困难的问题，采用多级网格搜索和遗传算法的方法对
超参数的取值进行优化-This paper studies the basic principles of the LS-SVM algorithm and time series prediction based on its implementation. Difficult to select for hyper parameter, multi-level grid search and genetic algorithm to optimize the values of hyper parameters Platform: |
Size: 3394560 |
Author:毛玉凤 |
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Description: 对澳大利亚气候的预测，可用于短期时间序列预测-Australian climate forecasts can be used for short-term time series prediction Platform: |
Size: 14390272 |
Author:李枫 |
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Description: 利用回声状态神经网络进行时间序列预测.预测效果非常好-Use of echo state neural network time series prediction. Predict very good results
Platform: |
Size: 59392 |
Author:陈建成 |
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Description: 基于支持向量机的时间序列工具箱，用用svm作时间序列预测可直接使用-Based on support vector machines time series toolbox, with svm for time series prediction can be used directly Platform: |
Size: 128000 |
Author:yoeooo |
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Description: 本文介绍了支持向量机进行电力负荷时间序列的预测-This article describes a support vector machine to power load time series prediction Platform: |
Size: 58368 |
Author:花弄月 |
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Description: 共最简单的时间序列的预测入门，最后一直讲到ARMA模型，有理论和matlab程序-Total easiest time series prediction entry, the last has been talked about ARMA model theory and matlab program Platform: |
Size: 175104 |
Author:刘然 |
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Description: 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 Platform: |
Size: 15360 |
Author:孙扬 |
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Description: 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 Platform: |
Size: 7168 |
Author:孙扬 |
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Description: 神经网络实现时间序列预测的方法，实现实现实现，实现-Neural network time series prediction method, to achieve and to achieve Platform: |
Size: 1024 |
Author:joanna |
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Description: 小波神经网络的时间序列预测-短时交通流量预测，供新手学习-The wavelet neural network time series prediction- short-term traffic flow forecast for the novice to learn Platform: |
Size: 5120 |
Author:jack |
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Description: 实现遗传算法优化的神经网络进行时间序列的预测，genetic.m接口函数简单明了，神经网络参数直接修改，自己的数据文件直接更换load即可。-Genetic algorithm optimization neural network for time series prediction, genetic.m interface functions simple neural network parameters directly modify their own data files directly replace the load can be. Platform: |
Size: 53248 |
Author:wang |
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Description: 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 time sequence of strange attractor, a chaotic time series prediction method. Iterated function systems chaotic local trajectory tracking radioactive energy optimal time sequence segment, thereby determining the statistical significance and branch attractor anyone, and collage theorem to establish prediction model. Platform: |
Size: 707584 |
Author:诸葛亮 |
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Description: ＢＰ神经网络具有较强的非线性问题处理能力 是目前一 种 较 好 的 用 于 时 间 序 列 预 测 的 方 法 然 而 它 存 在 易 于 陷 入 局 部 极 小,针对地震预测的应用,用改进粒子群优化的ＢＰ算法对四川地区最大震级时间序列进行预测,通过训练 预 测 次 年 的 最 大 震 级 结 果,表明此方法优于未经优化的 ＢＰ算法具有良好的预测效果 -BP neural network has a strong nonlinear problems processing power is a method for time series prediction, however it is easy to fall into local minimum, the application for earthquake prediction, BP algorithm with improved particle swarm optimization Sichuan maximum magnitude time series prediction by training the forecast for the following year the results of the maximum magnitude, indicating that this method is better than the non-optimized BP algorithm has good predictive Platform: |
Size: 214016 |
Author:mali |
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Description: 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 can be used to measure both. Platform: |
Size: 575488 |
Author:guojiehao |
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