A novel approach using Dynamic Social Impact Theory for optimization of impedance-Tongue (iTongue)

Bhondekar, A.P. and Kaur, Rishemjit and Kumar, Ritesh and Vig, Renu and Kapur, Pawan (2011) A novel approach using Dynamic Social Impact Theory for optimization of impedance-Tongue (iTongue). Chemometrics and Intelligent Laboratory Systems, 109 (1). pp. 65-76. ISSN 0169-7439

PDF A novel approach using Dynamic Social Impact Theory for optimization of impedance tongue.pdf Restricted to Registered users only Download (3502Kb) | Request a copy

Abstract

This paper presents a novel multiobjective wrapper approach using Dynamic Social Impact Theory based optimizer (SITO). A Fuzzy Inference System in conjunction with support vector machines classifier has been used for the optimization of an impedance-Tongue for the classification of samples collected from single batch production of Kangra orthodox black tea. Impedance spectra of the tea samples have been measured in the range of 20 Hz to 1 MHz using a two electrode setup employing platinum and gold electrodes. The proposed approach has been compared, for its robustness and validity using various intra and inter measures, against Genetic Algorithm and binary Particle Swarm Optimization. Feature subset selection methods based on the first and second order statistics have also been employed for comparisons. The proposed approach outperforms the Genetic Algorithm and binary Particle Swarm Optimization.

Item Type:	Article
Uncontrolled Keywords:	Dynamic Social Impact Theory; Electrochemical impedance spectroscopy (EIS); Electronic tongue; Feature subset selection; Genetic Algorithms (GA); Impedance tongue; Particle Swarm Optimization (PSO); Support vector machine (SVM)
Subjects:	CSIO > Agri - Instrumentation
Divisions:	Agri - Instrumentation
Depositing User:	Er. Amol Bhondekar
Date Deposited:	21 Apr 2012 23:42
Last Modified:	21 Apr 2012 23:42
URI:	http://csioir.csio.res.in/id/eprint/283

Actions (login required)

View Item