Recognition of scenery images considering positional relation using fuzzy inference neural networks

Atsushi Yamamura, Masafumi Hagiwara

Research output: Contribution to journalConference article

Abstract

In this paper, we propose a new system for recognition of scenery images by learning. The proposed system consists of 2 parts. One is the part which infers based on absolute position of target. The other is the part which infers based on relative position of target. Each part consists of Fuzzy Interference Neural Network (FINN) [6] which can extract fuzzy if-then rules automatically. So the system can extract knowledge about absolute position and relative position. Through computer experiments, it can be seen that the proposed system can recognize the image much correctly.

Original languageEnglish
Pages (from-to)1205-1210
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
Publication statusPublished - 2001 Dec 1
Event2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States
Duration: 2001 Oct 72001 Oct 10

Keywords

  • Fuzzy
  • Image recognition
  • Neural network
  • Rule extraction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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