Analysis on Correlation Degree of Data Search Based on BP Neural Network Algorithm

Abstract:

Based on the correlation principles of three Hermite interpolation, combined with the optimal data correlation search method, we establish the correlation mathematical model of financing risk for supply chain management, and design the optimal search computer simulation system of financing risk data. In order to verify the availability and reliability of the system, we compare three different algorithms of risk data search times and search time. Through calculation and comparison, the minimum number of search times is the correlation algorithm designed with only 6 times; the maximum is the BP neural network algorithm with 13 times; the minimum time of search times is the correlation algorithm with only 1.8s; the maximum is the genetic algorithm with 2.9s.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 3864-3867
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.3864
• Online since: May 2014
• Authors: Li Hong Fan*, Guo Hong Shi
• Keywords: BP Neural Network (BPNN), Data Association, Financing Risk, Genetic Algorithm (GA), Hermite Interpolation, Supply Chain

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