摘要
根据人工神经网络的系统辨识理论，充分发挥神经网络的强大学习功能和记忆联想功能，建立了结构动力系统的计算机仿真模型，并对非线性动态系统和水工结构振动系统进行计算机仿真，仿真结果与实际值具有良好的一致性，这充分说明了人工神经网络在结构工程领域的应用价值和深远意义．
Based on system identification theory of artificial neural network and giving full play to its learning and thinking function,computer emulated models of dynamic system are set up in this paper. Neural network models of a non-linear equation and vibration bodies of water engineering structure are made and the results agree with the real values. This study states clearly the important value and profound significance of artificial neural network in the region of structure engineering
出处
《水利水电技术》
CSCD
北大核心
1998年第3期38-42,共5页
Water Resources and Hydropower Engineering
关键词
神经网络
计算机仿真
非线性方程
结构振动系统
neural network, computer simulation, non-linear equation, structure vibration system
