Study of Implementing the Model of Gas Inspection Based on Neural Networks

Abstract

The conduction route of animal olfactory system has been proposed in this paper. Pattern recognition is considered as the inherent mechanism of the nature and the base of intelligence, which is established on simulation of brain computing pattern. According to this view, the pattern recognition module from computing pattern existing in the olfactory organs to current computer simulation mode inspired by the olfactory organs has been presented in gas inspection device, which mainly based on neutral networks. The module adopts the multi-function sensors array to establish the input layer of neutral networks for online perception. Due to the identification training of neutral networks the identification of qualitative and quantity is finally implemented through the self-learning and analysis.