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.
Author: Wu Lei, Fang Jiandong,
Zhao Yudong
Journal Code: jptkomputergg160277
