Development of Concrete Bridge Rating Prototype Expert System with Machine Learning
Development of Concrete Bridge Rating Prototype Expert System with Machine Learning
复制标题
利用机器学习开发混凝土桥梁评级原型专家系统
DOI：
--
复制
发表时间：
1997
期刊：
影响因子：
--
通讯作者：
Kazuya Kinoshita
中科院分区：
文献类型：
--
作者：
M. Kushida;A. Miyamoto;Kazuya Kinoshita
开发实用专家系统的努力主要集中在如何成功地实现基于经验的机器学习。最近，从基于知识的管理的角度进行了几个关于机器学习的积极研究项目。本研究的目的是开发混凝土桥梁评级（诊断）原型专家系统与机器学习，采用神经网络和双向联想记忆（BAM）的组合。将机器学习引入该系统有助于基于知识的细化。通过将该系统应用于一座实际的在役桥梁，验证了使用桥梁专家问卷调查结果的机器学习方法对系统的有效性。
Efforts to develop practical expert systems have mostly concentrated on how to implement experience-based machine learning successfully. Recently several active research projects on machine learning have been undertaken from the viewpoint of knowledge-based management. The aim of this study is to develop the Concrete Bridge Rating (Diagnosis) Prototype Expert System with machine learning, employing the combination of a neural network and bidirectional associative memories (BAM). The introduction of machine learning into this system facilitates knowledge-based refinement. By applying the system to an actual in-service bridge, it has been verified that the machine learning method employed that uses the results of questionnaire surveys involving bridge experts is effective for the system.