Simulation of Artificial Noses for the Automated Detection and Classification of Organic Compounds

This paper is an introduction of Artificial Neural Networks. Mainly deals with an exciting application of neural network called “Electronic Nose”. The idea behind this application is simple. Electronic/Artificial noses are being developed as the systems for automated detection and classification of odors, vapors and gases. To avoid domestic accidents in the houses, small scale industries or mines by identifying and reporting them in the appropriate time. Electronic Nose is developed as a composition of chemical sensing system and a pattern recognition system. For this we use sensor array or spectrometer and artificial neural network. We are developing Electronic noses for the automated identification of volatile chemicals for environmental and medical, food industries. In this paper, tried to describe the working of Electronic nose and then showed some results from a prototype Electronic nose.