Publication Type : Conference Paper
Thematic Areas : Biotech, Medical Sciences
Publisher : IASTED international conference on Signal Processing
Source : IASTED international conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2002), June 25-28, 2002 at Crete, Greece.
Url : https://www.actapress.com/Abstract.aspx?paperId=24888
Keywords : Maximum likelihood, pattern recognition, neural network, MLANS.
Campus : Amritapuri
School : School of Biotechnology
Center : Amrita Mind Brain Center, Biotechnology
Department : biotechnology
Year : 2002
Abstract : Likelihood Over Likelihood Adaptive Neural System (LOLANS) is a modeling field theory based pattern recognition system. Usually Bayesian probability based systems work on basis of maximum likelihood principle for classification. However such systems do get into situations where the data to be classified has values of similar probability and at these points they get into a ‘confusion-situation’. This problem is overcome by the new system. LOLANS takes probability of event for the maximum probability event for sub-classifying useful patterns to be recognized. In this paper I present the working methodology of my system, the LOLANS.
Cite this Research Publication : S. Diwakar, “LOLANS: Increased likelihood capability for pattern classification and intelligent recognition”- at IASTED international conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2002), June 25-28, 2002 at Crete, Greece.