Department of Electrical and Computer Engineering, The University of the West Indies, St Augustine, Republic of Trinidad and Tobago;
Department of Electrical and Computer Engineering, The University of the West Indies, St Augustine, Republic of Trinidad and Tobago;
Department of Electrical and Computer Engineering, The University of the West Indies, St Augustine, Republic of Trinidad and Tobago;
Department of Electrical and Computer Engineering, The University of the West Indies, St Augustine, Republic of Trinidad and Tobago;
Support vector machines; Load forecasting; Load modeling; Companies; Artificial neural networks; Batch production systems; Biological system modeling;
机译:人工神经网络与最小二乘支持向量机算法相结合的短期负荷预测
机译:短期负荷预测的人工神经网络设计。二。多层前馈网络,用于预测峰值负荷和谷底负荷
机译:预测建筑物的每小时制冷量:支持向量机和不同人工神经网络的比较
机译:使用各种负载类型的人工神经网络和支持向量机的比较使用各种负载类型的短期负荷预测
机译:使用带有外源多变量输入的非线性自回归人工神经网络进行电力负荷的短期预测
机译:使用临床决策支持系统进行晚期前列腺癌的术前预测:支持向量机和人工神经网络之间的准确性比较
机译:基于外生矢量输入的非线性自回归人工神经网络电负荷短期预测
机译:使用神经网络进行短期电力负荷预测