搜索资源列表
PSO-SVM
- 基于PSO-SVM的短期交通流预测方法，是毕业设计参考的文献，希望对做同一课题的同学有帮助-PSO-SVM-based short-term traffic flow prediction methods, and graduated from the design reference literature to help students do the same subject
svm-load-forecast
- 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
wind-speed-prediction
- 基于支持向量机的风速预测模型研究，即SVM,是一篇非常有用的论文-Wind speed prediction model based on support vector machine SVM, is a very useful paper
svm
- 基于SVM的Web应用缺陷预测方法 刘旸 -Web application defect prediction method based on SVM Liu Yang
regress-and-predict
- 基于svm的一维信号的回归预测，精确度优于传统的神经网络方法-The one-dimensional signal based svm regression prediction accuracy is better than traditional neural network method
EFFECTIVENESS-OF-SUPPORT-VECTOR-MACHINE-FOR-CRIME
- Crime hot-spot location prediction is important for public safety. The output from the prediction can provide useful information to improve the activities aimed at detecting and preventing safety and security problems. Location prediction is a sp
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 the
1-s2.0-S1568494613001361-main.pdf
- Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients
Predictive
- Predictive direct power control (P-DPC) applied to voltage source pulse-width-modulation (PWM) rectifier was introduced in this paper. Based on the model of power prediction, voltage vectors were selected according to minimizing power errors
lssvmMATLAB
- 最小二乘支持向量机，采用matlab编写，可以直接使用，SVM是经典的分类和预测算法。-Squares support vector machine, using matlab prepared, can be used directly, SVM is the classic classification and prediction algorithms.
SVM-yindao
- 使用Opencv C++中的支持向量机进行引导，对其进行分类并预测。-Opencv C++ using the support vector machine to guide the classification and prediction.
SVM
- 模型预测，利用支持向量机算法建立风电场风速模型，并与其它相关模型做对比分析(Model prediction, support vector machines, modeling)