The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 31-813
Full Name: Selvakumar Kamalanathan
Position: Assistant Professor
Age: ON
Sex: Male
Address: SCS, VIT University, Vellore, Tamil Nadu
Country: INDIA
Tel:
Tel prefix:
Fax:
E-mail address: kselvakumar@vit.ac.in
Other E-mails:
Title of the Paper: Design of centroid neural network for competitive learning
Authors as they appear in the Paper: Selvakumar K, Prabu S, Ramanathan L
Email addresses of all the authors: kselvakumar@vit.ac.in, sprabu@vit.ac.in, lramanathan@vit.ac.in
Number of paper pages: 10
Abstract: An unsupervised competitive learning algorithm based on the classical k-means clustering algorithm is proposed. The proposed learning algorithm called the centroid neural network (CNN) estimates centroids of the related cluster groups in training date. This paper also explains algorithmic relationships among the CNN and some of the conventional unsupervised competitive learning algorithms including Kohonen's self-organizing map (SOM) and Kosko's differential competitive learning (DCL) algorithm. The CNN algorithm requires neither a predetermined schedule for learning coefficient nor a total number of iterations for clustering.
Keywords: Centroid, forgetting, learning gain, neural network, unsupervised learning
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 220.225.214.2
