문형 인식을 위한 궤적 추적 알고리즘에 관한 연구

• 영문명: A Study on Character Recognition by Trajectory Tracking Algorithm
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 염의종(Ui Jong Youm) 김기량(Ki Ryang Kim)
• 간행물 정보: 『산업기술연구논문지』산업기술교육훈련논문지 제18권 4호, 1~6쪽, 전체 6쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2013.12.30

영문 초록

In this study, by scanning the pattern left on a piece of paper to determine how to enter the characters, how to enter the characters using the keyboard, furthermore, how to convey the character of the input patterns that appear when you write a character to a location, such as the mouse, digitizer input device with Fuzzy-Neural algorithms were tested. Fuzzy-Neural hybrid system, fuzzy logic techniques and neural networks can be viewed as two individual subsystems. They do their own jobs by serving different purposes in a system. By making use of their individual strengths, they incorporate and complement each other to accomplish a desired task. This system makes use of the strength of a neural network in its processing speed and the strength of fuzzy logic in its flexible reasoning capability for decision making and control. To use the mouse in everyday life and to relieve these uncomfortable using an intelligent algorithm to determine the pattern analysis of the movement of the mouse, by letters or symbols that can be entered, judgment and experiment proved its usefulness.

목차

ABSTRACT

Ⅰ. 서론

Ⅱ. 실험 설계

Ⅲ. 퍼지-뉴로 하이브리드 시스템

Ⅳ. 결론

참고문헌

키워드

퍼지 뉴럴 알고리즘 문형 패턴 분석 하이브리드 지능 알고리즘 Fuzzy-Neural Algorithms Character Pattern Analysis Hybrid Intelligent Algorithm