There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 8743 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 8736 | - |
dc.citation.title | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.citation.volume | 39 | - |
dc.contributor.author | Jung, Mooyoung | - |
dc.contributor.author | Shin, Moonsoo | - |
dc.contributor.author | Ryu, Kwangyeol | - |
dc.date.accessioned | 2023-12-22T04:48:50Z | - |
dc.date.available | 2023-12-22T04:48:50Z | - |
dc.date.created | 2013-05-27 | - |
dc.date.issued | 2012-08 | - |
dc.description.abstract | Up-to-date market dynamics has been forcing manufacturing systems to adapt quickly and continuously to the ever-changing environment. Self-evolution of manufacturing systems means a continuous process of adapting to the environment on the basis of autonomous goal-formation and goal-oriented dynamic organization. This paper proposes a goal-regulation mechanism that applies a reinforcement learning approach, which is a principal working mechanism for autonomous goal-formation. Individual goals are regulated by a neural network-based fuzzy inference system, namely, a goal-regulation network (GRN) updated by a reinforcement signal from another neural network called goal-evaluation network (GEN). The GEN approximates the compatibility of goals with current environmental situation. In this paper, a production planning problem is also examined by a simulation study in order to validate the proposed goal regulation mechanism. | - |
dc.identifier.bibliographicCitation | EXPERT SYSTEMS WITH APPLICATIONS, v.39, no.10, pp.8736 - 8743 | - |
dc.identifier.doi | 10.1016/j.eswa.2012.01.207 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.scopusid | 2-s2.0-84859217892 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/2877 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84859217892 | - |
dc.identifier.wosid | 000303281800024 | - |
dc.language | 영어 | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Reinforcement learning approach to goal-regulation in a self-evolutionary manufacturing system | - |
dc.type | Article | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management Science | - |
dc.relation.journalResearchArea | Computer Science; Engineering; Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Self-evolutionary manufacturing system | - |
dc.subject.keywordAuthor | Fractal organization | - |
dc.subject.keywordAuthor | Goal-regulation | - |
dc.subject.keywordAuthor | Reinforcement learning | - |
dc.subject.keywordAuthor | Agent | - |
dc.subject.keywordAuthor | Production planning | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.