Spatio-Temporal Prediction of Root Zone Soil Moisture Using Multivariate Relevance Vector Machines

• 作 者: Bushra Zaman Mac McKee
• 机 构: UtahWaterResearchLaboratory
• 出 处: 现代水文学期刊(英文)
• 发表日期: 2014年3期
• 关键词: RELEVANCE Vector Machines STATISTICS Predictions Soils Soil MOISTURE Data Manage

Root zone soil moisture at one and two meter depths are forecasted four days into the future. In this article, we propose a new multivariate output prediction approach to root zone soil moisture assessment using learning machine models. These models are k