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Proceedings of the 17th IAPRI World Conference on Packaging (IAPRI 2010 E-BOOK)

Tianjin,China,10.12-10.15，2010

ISBN: 978-1-935068-36-5 Scientific Research Publishing, USA

E-Book 886pp Pub. Date: October 2010

Category: Chemistry & Materials Science

Price: $80

Title: The Study on Packaged Food Shelf life Based on Back-Propagation (BP)
Source: Proceedings of the 17th IAPRI World Conference on Packaging (IAPRI 2010 E-BOOK) (pp 410-413)
Author(s): Zenghui Sun, Tianjin University of Science and Technology TUST Tianjin, China
Lei Zhang, Tianjin University of Science and Technology TUST Tianjin, China
Abstract: To predict shelf life of food products has been an important issue in the field of food science and packaging engineering. This article first analyzes the current studies on shelf life prediction, and points out that these evaluation systems are ineffective for their accuracy and practicability. Then artificial neural network methodology is introduced to predict shelf life, using BP network to establish a mathematical prediction model. Incorporation of various factors, including food product compositions, package properties, storage and logistics condition into a single model can be achieved when BP neural network is used. Its self-study and self-adjusting ability make the network can generalize their inherent laws from a large number given data automatically. The prediction results are closer to the actual dynamic environment because the BP model is highly adaptable to the changes of outer circumstances. In this article compared to existing models, BP model was proved to be a more simple, adjective and higher accuracy method for predicting shelf life. It will promote the development trend which to use computer method to cope with the study of food shelf life, and offer a new approach and idea for modeling theory of food’s shelf life prediction.
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