Safety evaluation research of hydraulic steel gate based on BP-neural network

Abstract

Aiming at actual condition that the semi-empirical and semi-theoretical researches exist generally in the safety valuation of hydraulic steel gate in service, a new method has been provided, in which the evaluation model is built by BP-neural network, and trained through the normalized corrosion data of hydraulic steel gate. Project applications show that the method evaluated hydraulic steel gate exactly and objectively, and can ensure safety and reliability of gate operation.