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퍼지뉴럴네트워크를 이용한 상충데이터 정제기법 연구

Title
퍼지뉴럴네트워크를 이용한 상충데이터 정제기법 연구
Other Titles
A Study of the Refined Method of Conflicts Data with Fuzzy-Neural Networks System
Author
김성호
Keywords
traffic conflict technique; variation of recognition; obscurity; fuzzy and neural network system
Issue Date
2004-11
Publisher
대한토목학회
Citation
대한토목학회논문집, v.24, No.6D, Page.839-844
Abstract
When the number of reported accidents to evaluate the safety of intersections is insufficient, we can use the traffic conflict technique. However, It raises a problem related to the variation of individual surveyor's recognition. This paper, to reduce the variation of individual surveyor's recognition, uses the Fuzzy Neural Network System(FNN). It is made up of a Fuzzy which is used to reduce the human obscurity, and a Neural Network System which is used to abstract, learn and memorize the certain events like the activity of human brain. At the result, the proposed model of this paper showed that it reduced the variation of surveyor's recognition until about 70 percentiles and could construct a more accurate traffic conflict model.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01223786&language=enhttps://repository.hanyang.ac.kr/handle/20.500.11754/154878
ISSN
1015-6348
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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