A neuro fuzzy based black tea classifying technique using electronic nose and electronic tongue

Abstract

This paper presents a neuro-fuzzy classification technique using electronic nose, electronic tongue and the fused response of electronic nose and electronic tongue for the evaluation of black tea quality. In the tea industries an automated, neutral and low cost instrumental system to determine the overall tea quality is in great requirement. A general fuzzy rule based and neural network model can produces accurate predictions. But both models have some weakness. In this pursuit, Pseudo outer-product based fuzzy neural, a kind of fuzzy neural network classifying system has been attempted to classify tea grades. Results show that above model can classify in a better way compared to other models.