...
机译:模糊线性回归与支持向量回归对伊朗全球太阳辐射预测的比较研究
Department of Agricultural Machinery Engineering, Faculty of Agricultural, University of Tabriz, Tabriz, Iran;
Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran;
Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran;
Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran;
Department of Information System, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia;
Renewable energy; Solar energy; Artificial intelligence; Support vector machine; Fuzzy modeling;
机译:支持向量机的模糊回归估计水平太阳总辐射
机译:基于混合k均值和支持向量回归算法的全球太阳辐射预测
机译:使用杂交的K型方式预测全局太阳照射和支持向量回归算法
机译:逻辑回归坡度故障预测的比较研究,支持向量机和最小二乘支持向量机模型
机译:比较,偏重和加权的多元线性回归方法来支持对局外学校的教育政策的识别(岭回归,预测,残差,解释,需求,评估)
机译:集成支持向量回归和改进的基于粒子群优化的太阳辐射预测模型
机译:E-smooth支持向量回归的研究及与E-的比较 支持向量回归和潜在支持向量机 预测恶唑啉和恶唑类的抗结核活性 衍生品