水利水电技术2011，Vol.42Issue(1)：54-57,4.
消力池底板上举力的神经网络模型预测
Neural network model based prediction on uplift force acting on bottom slab of stilling basin
摘要
Abstract
Based on the nonlinear mapping function of the BP artificial neural network and combined with the model test with two forms of energy dissipation in sink, a simple system of the uplift force prediction is made up by taking the measured fluctuating pressures acting on the surface of the bottom slab in the flow field as the variables concerned. It is demonstrated by the relevant measured data that better predicting effect can be obtained by the system, and then the study result has certain significance to the real-time safety monitoring on stilling basin.关键词
消力池/底板/神经网络/上举力/预测Key words
stilling basin/ bottom slab/ neural network/ uplift force/ prediction分类
建筑与水利引用本文复制引用
辜晋德,练继建..消力池底板上举力的神经网络模型预测[J].水利水电技术,2011,42(1):54-57,4.基金项目
国家杰出青年科学基金(50725929) （50725929）
国家科技支撑项目(2008BAB29B04) （2008BAB29B04）
水利部公益性行业科技专项(200901081). （200901081）
