Wind-speed-prediction
基于最小二乘支持向量机理论,结合某风电场实测风速数据,建立了最小二乘支持向量机风速预测模型。对该风电场的风速进行了提前1h的预测,其预测的平均绝对百分比误差仅为8.55 ,预测效果比较理想。同时将文中的风速预测模型与神经网络理论、支持向量机(support vector machine,SVM)理论建立的风速预测模型进行了比较。仿真结果表明,文中所提模型在预测精度和运算速度上皆优于其他模型。
(Based on least squares support vector machine theory, combined with a wind farm measured wind speed data, the establishment of a wind vector machine forecasting model of least squares support. The velocity of the wind farm were predicted in advance 1h, the mean absolute percentage error of only 8.55 of its forecast, forecast effect is ideal. While the text of the wind speed forecasting models and neural networks, support vector machines (support vector machine, SVM) wind speed prediction models were compared with established theories. Simulation results show that our proposed model on prediction accuracy and computing speed are superior to other models.)
- 2014-05-24 17:32:46下载
- 积分：1
OpenCode_luzhenbo
[原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载
作者: 陆振波
毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士([Original] chaos analysis, cluster analysis, support vector machine, group intelligent optimization, depth learning (convolution neural network) Matlab toolbox full open source version Download
Author: Lu Zhenbo
Graduated from: Naval University of Engineering, Marine and Marine Engineering (Underwater Engineering), Ph.D.
Depth of learning, machine learning, machine vision, group intelligence, nonlinear and chaos, Matlab and VC++ mixed, large data (1), and a large number of data processing,
Image processing, intelligent vision, convolutional neural network, face detection, pedestrian detection, license plate recognition, feature extraction, image processing, image processing, image processing, ADAS, AdaBoost, LBP, HOG, MeanShift, target detection, target recognition, target tracking, data mining, large data, radar, radar, autopilot, millimeter wave radar
E-mail: 41670240@qq.com
Personal blog: http://blog.sina.com.cn/luzhenbo2
Welcome to peer exchange, and pleas)
- 2016-12-03 08:48:46下载
- 积分：1
