Recognition of scenery images considering positional relation using Fuzzy Inference Neural Networks
Ariyoshi Yamamura, Masafumi Hagiwara · 2002
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 Inference Neural Network (FINN) 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.