Earticle

초록

영어

In this paper, we developed a health pre-diagnosis system with ART2 neural network for Pet dog health monitoring. This system is for the pet owner who does not have deep knowledge on the pet diseases nor computer technology. The standardized database of symptoms/diseases associations is constructed from textbooks and the user simply gives the most unusual symptom that is found from the dog and then the communication between the user and the system refines and expands the input symptoms through queries. Then an unsupervised ART2 learning system checks the similarity between input and stored diseases with confidence and generates three most probable diseases as output. The system has incremental learning ability and learning by experience ability thus appropriately changes the database over time even without user’s database update. In spite of the fact that the system is ad-hoc in nature, the system’s performance is verified by veterinarian as adequate and it can stimulate the owner’s attention on the dog’s abnormality in time such that appropriate professional treatment is given in its early stage.

목차

Abstract
 1. Introduction
 2. Intelligent Pet Dog Health Pre-Diagnosis System
  2.1. Disease-Symptom Data Collection
  2.2. Database Construction
  2.3. Overall Procedure
  2.4. ART2 Learning System
 3. Experiment and Analysis
 4. Conclusion
 References

키워드

저자

• Kwang Baek Kim [ Department of Computer Engineering, Silla University, 140 Baegyang-daero(Blvd) 700beon-gil(Rd), Sasang-gu, Busan 617-736, Korea ]
• Doo Heon Song [ Department of Computer Games, Yong-In Songdam College, Mapyeong-dong, Cheoin-gu, Yongin 449-040, Korea ]
• Young Woon Woo [ Department of Multimedia Engineering, Dong-Eui University, Gaya 3-dong, Busanjin-gu, Busan 614-714, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605