Applicaiton of a genetic Neuro-fuzzy logic to departure From nucleate boiling Protection limit estimation

摘要

A neuo-fuzzy method is used to estimate the depar- ture form nucleate boiling (DNB) protection limit using the measured average temperature and pressure of a re- actor core. The neuro-fuzzy system parameters are opti- mized by two learning methods. A genetic algorithm is used to optimize the antecedent parameters of the neuro- fuzzy inference system, and a least-squares algorithm is used to solve the consequent parameters. Two neuro- fuzzy inference systems are used according to the pres- sure and temperature regions.