THE EFFECT OF ARTIFICIAL NEURAL NETWORKS STRUCTURE IN CRITICAL HEAT FLUX PREDICTION ERROR
作者单位：Dept.of Physics Karaj branchI.Azad university Dept.of Physics Karaj branchI.Azad university Dept.of Physics Karaj branchI.Azad university Plasma physics research center sciences and researches campusI.Azad university Dept.of Physics Amirkabir university of technology
会议名称：《第十三届国际核工程大会》
会议日期：2005年
学科分类：08[工学] 082701[工学-核能科学与工程] 0827[工学-核科学与技术]
摘 要：正 CHF （Critical Heat Flux） is an important parameter for the design of nuclear reactor. Although much experimental and theoretical research has been performed, there is not a single correlation to predict CHF because there are many parameter which influence *** parameters are based on inlet, local and outlet conditions. Recently some attempts have been achieved to predict critical heat flux by different methods. Correlation