Description: 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测，能取得很好的预测效果，直接使用该程序就能实现电力短期负荷预测，同样使用于其他类型的时间序列预测-the procedures based on chaos theory and neural networks ELMAN short-term load forecasts, can be achieved very good results forecast, the direct use of the procedure we will be able to realize short-term power load forecasting, the same used in other types of time series prediction Platform: |
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Author:sunyan |
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Description: 利用灰色系统进行预测的几篇好论文:
BP神经网络_灰色系统联合模型预测软基沉降量 非线性时间序列神经网络预测方法的研究及应用 股票投资价值灰色马尔可夫预测 股票投资价值灰色系统模型及应用 灰色关联神经网络模型在股指预测中的应用 灰色理论与模型及在车辆拥有量预测中的应用 灰色神经网络交通事故预测比较 灰色神经网络预测模型的应用 灰色-神经网络综合预测模型-Gray prediction system using a few good papers: BP neural network system _ a joint model gray soft ground settlement prediction of nonlinear time series prediction method of neural network research and application of the gray value of equity investments Markov prediction value of the equity investments of the gray system Application of gray relational model and neural network model in forecasting stock gray theory and model and prediction of vehicle ownership in the application of gray neural network traffic prediction compare gray neural network prediction model of the application of gray- the integrated neural network prediction model Platform: |
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Author:yujian |
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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: 基于长记性特征的时间序列预测模型，很好用，准确度优于普通神经网络，我自己一直在用-Characteristics based on long memory time series forecasting model, the good, the accuracy is better than an ordinary neural network, I have been using Platform: |
Size: 5120 |
Author:李文兵 |
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Description: 《MATLAB神经网络30个案例分析》中的第15个例子，案例15 SVM神经网络的信息粒化时序回归预测。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 15 cases of 15 SVM neural network information graining time-series regression forecasting. Hope to have certain help to everybody!
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Size: 401408 |
Author:杨飞 |
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Description: 《MATLAB神经网络30个案例分析》中的第23个例子，案例23 小波神经网络的时间序列预测-短时交通流量预测。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 23 example, 23 cases of wavelet neural network time series forecasting- short-term traffic flow prediction. Hope to have certain help to everybody!
Platform: |
Size: 5120 |
Author:杨飞 |
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Description: 迭代自组织数据分析，是一种双隐层反向传播神经网络，在matlab环境中自动识别连通区域的大小,时间序列数据分析中的梅林变换工具，重要参数的提取，阐述了负荷预测的应用研究。- Iterative self-organizing data analysis, Is a two hidden layer back propagation neural network, Automatic identification in the matlab environment the size of the connected area, Time series data analysis Mellin transform tool, Extract important parameters, It describes the application of load forecasting. Platform: |
Size: 5120 |
Author:qhesfm |
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Search - neural forecasting time series matlab