期刊名称：Advance Journal of Food Science and Technology
印刷版ISSN：2042-4868
电子版ISSN：2042-4876
出版年度：2016
卷号：10
期号：1
页码：37-42
DOI：10.19026/ajfst.10.1749
出版社：MAXWELL Science Publication
摘要：With the market competition increasing, in order to shorten product development cycle and reduce the development costs, product design is changed from the traditional serial-type process to the parallel, collaborative development process. Food product collaborative design of Feature modeling refers to the number of the design team through the division of labor and cooperation has completed a product development project process. The set with known constraints was detected by interval propagation algorithm. Meanwhile, BP neural network was proposed in this study to detect the set with unknown constraints. Simulated results indicated that BP neural network optimized by IA has better performance in convergent speed and global searching ability compared with Genetic Algorithm (GA).The constraints of two sets were detected respectively.
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