Recognition and forecasting are two of the basic functions of the ANNs.
识别和预测是人工神经网络的两大主要功能。
Presently, the applications of ANNs to structural damage identification problems have attracted increasing attention.
目前人工神经网络应用于结构损伤识别的研究已越来越受到关注。
Objective To study the synthetic process of sodium percarbonate using Back Propagation Artificial Neural Network (BP-ANNS).
目的用前馈(BP)神经网络对过碳酸钠合成工艺进行研究，筛选新的复合稳定剂。
The on-line fault diagnosis of engine was conducted using the sensor sampling data as the inputs of ANNs and the faults code as the output.
以传感器采样值作为神经网络的输入，故障代码作为输出，对电控汽油机进行在线故障诊断。
Based upon the characteristics of integrative interpretation of pay beds, a new method using ANNs for integrative pay beds interpretation is presented.
根据油气层综合解释的特点，提出了单井油气层综合解释的人工神经网络方法。
Chapter two emphasizes on introducing the concept, characteristics and basic principle of ANNs, and summing up the artificial neural network in civil engineering.
第二章介绍人工神经网络的概念、特点和基本原理；并总结了人工神经网络在土木工程中的应用。
This paper deals with the structural health detection using measured frequency response functions (FRFs) as input data toa back propagation (BP) artificial neural networks (ANNs).
研究将实测结构频率响应函数作为反向传递人工神经网络的输入数据，用来进行结构健康检测。
This paper deals with the structural health detection using measured frequency response functions (FRFs) as input data toa back propagation (BP) artificial neural networks (ANNs).
研究将实测结构频率响应函数作为反向传递人工神经网络的输入数据，用来进行结构健康检测。
应用推荐