Recognition of Odor Characteristics based on BP Neural Network

Abstract: This paper introduces the basic principle and calculation steps of BP neural network algorithm for recognition of odor characteristics. Using the PEN3 electronic nose collects the volatile components of milk. Simulation of BP neural network algorithm in MATLAB condition, and compared with the partial least squares identification algorithm which is in the software of electronic nose. It is verified that the odor characteristic parameters with nonlinear and little differences could be better identified by BP neural network.
Keywords: BP neural network, electronic nose, odor, recognition
Author: Wu Lei, Fang Jiandong, Zhao Yudong
Journal Code: jptkomputergg160277

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