Research of Classification of Raisin Based on BP Networks

In order to adapt to the primary products request of the machine vision grading technology. This article through analysis raisin characteristic parameter combination’s influence of BP network recognition rate, and definite the parameters which could reflect the shape features perfectly. Taking the BP algorithm as the foundation, and the network was trained by improved BP; a model for accreditation raisin was presented on the basis of BP networks. Experiments verifies that this BP networks be of better results. Its classification average accuracy rate could reach 93%.