Part family formation through fuzzy ART2 neural network

Part family formation through fuzzy ART2 neural network

0.00 Avg rating0 Votes
Article ID: iaor20072568
Country: Netherlands
Volume: 42
Issue: 1
Start Page Number: 89
End Page Number: 103
Publication Date: Oct 2006
Journal: Decision Support Systems
Authors: , , , ,
Keywords: fuzzy sets
Abstract:

In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks' recognition, the present study is dedicated in developing a novel fuzzy neural network (FNN), which integrates both the fuzzy set theory and adaptive resonance theory 2 (ART2) neural network for grouping the parts into several families based on the image captured from the vision sensor. The proposed network possess the fuzzy inputs as well as the fuzzy weights. The model evaluation results showed that the proposed fuzzy neural network is able to provide more accurate results compared to the fuzzy self-organizing feature maps (SOM) neural network and fuzzy c-means algorithm.

Reviews

Required fields are marked *. Your email address will not be published.