A Feature Recognition Approach with Fuzzy ART Neural Network

Abstract:

Article Preview

This paper proposes a feature recognition approach from a boundary representation solid model with Fuzzy ART neural network. To recognize the feature efficiently, some key technologies in Fuzzy ART neural network are used. The influence of the vigilance parameter on feature recognition is studied, and two learning modes, fast learning and slow learning are adopted and compared in feature recognition. Finally, a case study is given to verify the proposed approach.

Info:

Periodical:

Edited by:

Fei Hu and Beibei Wang

Pages:

406-411

DOI:

10.4028/www.scientific.net/AMR.279.406

Citation:

C. Lu and J. Zha, "A Feature Recognition Approach with Fuzzy ART Neural Network", Advanced Materials Research, Vol. 279, pp. 406-411, 2011

Online since:

July 2011

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.