Simulation and prediction of monthly accumulated runoff,based on several neural network models under

• 作 者: JianPing Qian JianPing Zhao Yi
• 机 构: CollegeofMathematicsandSystemSciences,StateKeyLaboratoryofDesertandOasisEcology,CeleNationalStationo
• 出 处: 寒旱区科学:英文版
• 发表日期: 2018年6期
• 关键词: OASIS artificial neural network RADIAL basis FUNCTION wavelet FUNCTION RUNOFF si
• 基金项目: This work was financially supported by the regionalcollaborative innovation project for Xinjiang UygurAutonomous Region (Shanghai cooperationorganization science and technology partnershipproject) (20

Most previous research on areas with abundant rainfall shows that simulations using rainfall-runoff modes have a very high prediction accuracy and applicability when using a back-propagation(BP),feed-forward,multilayer perceptron artificial neural network