Description: 用时间序列分析中的自适应滤波预测法,建立某市用电量的预测模型
-Using time series analysis of adaptive filtering prediction method, a city electricity consumption forecasting model Platform: |
Size: 292864 |
Author: |
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Description: 灰色预测gm（1-1）算法，用于短期时间序列预测，包含残差检验等各种必要检验-Gray predicted all the necessary inspection gm (1-1) algorithm for short-term time series prediction, including residuals inspection Platform: |
Size: 1024 |
Author:谢仁杰 |
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Description: 支持向量机回归理论与神经网络等非线性回归理论相比具有许多独特的优点有线性回归和非线性回归,其模型的选 择包括核的选择、容量控制以及损失函数的选择.在控制方面的研究包括非线性 时间序列 的预测及应用、系统辨识以及优化控制和学习控制等方面的研究-Support vector machine (SVM) regression theory and neural network has many unique advantages such as nonlinear regression theory with linear regression and nonlinear regression, the choice of its model including the selection of nuclear, volume control, and the choice of loss function. In the control of nonlinear time series prediction and application, including system identification and optimization control and learning control research Platform: |
Size: 459776 |
Author:mumu |
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Description: matlab时间序列法 小波神经网络的时间序列预测——短时交通流量预测-matlab time series WNN time series prediction- short-term traffic forecast Platform: |
Size: 4096 |
Author:冷祖昊 |
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Description: 一款时间序列预测的软件，是改进的时间序列预测-A time series forecasting software, is an improved time series prediction Platform: |
Size: 12288 |
Author:白 |
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Description: Mackey-Glass时间序列预测建模问题，对数据采用4阶龙格库塔方法离散化。-Mackey-Glass time series prediction modeling of data using four discrete order Runge-Kutta method. Platform: |
Size: 1024 |
Author:乔木 |
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Description: Mackey-Glass时间序列预测建模问题，建立了四输入一输出、具有3层结构的MLP人工神经网络，实现了函数逼近的功能。-Mackey-Glass time series prediction modeling, the establishment of a four-input one output, with a 3-layer MLP artificial neural network architecture to achieve a function approximation functions. Platform: |
Size: 1024 |
Author:乔木 |
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Description: 用时间序列和小波分析相互结合的基于小波的时间序列预测方法，该方法比较可靠，欢迎大家下载。-Wavelet analysis of time series and combined with each other in the time series prediction method based on wavelet, this method is more reliable, welcome to download. Platform: |
Size: 180224 |
Author:张张 |
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Description: 质量非常好的一篇博士论文。冲击破坏过程十分复杂，很难建立精确的数学模型，但目前具有冲击危险性的矿井都采取了多种监测措施，可以获得大量冲击地压监测数据。本论文以获取的冲击地压监测历史时间序列数据为基础，在相空间重构出的动力学空间中分析其混沌特性，基于混沌预测理论，采用智能算法对多个冲击地压监测变量进行预测研究，并采用集成分类方法对冲击危险性进行识别预测研究。-Quality is very good a doctoral dissertation. The impact of the destruction process is very complex, it is difficult to establish a precise mathematical model, but with the impact of hazardous mine have taken a variety of measures to monitor, you can get a lot of bumping monitoring data. In this paper, the impact of pressure to get the monitoring of historical time series data, analyze its characteristics in phase space reconstruction of chaotic dynamics of the space prediction based on chaos theory, the use of intelligent algorithms to press multiple variables to predict the impact of monitoring Research and integrated classification method to identify the impact of risk prediction. Platform: |
Size: 2359296 |
Author:李其龙 |
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Description: 利用MATLAB的反馈网络-Elman神经网络处理时间序列问题的功能预测上证股市开盘价。-Elman Feedback network using MATLAB neural network for time series prediction problem function on card stock market opening. Platform: |
Size: 4096 |
Author:sdu |
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