Transactions of Materials and Heat Treatment

Title：Application of the rough sets in identification of material property parameter via neural network

Authors： YANG Song ZHAO Jun MA Rui SU Chun-jian(College of Mechanical of Engineering Yanshan University Qinghuangdao Heibei 066004 China)

Unit：

KeyWords： rough sets data reduction real-time identification BP neural network

ClassificationCode：TG386

year,vol(issue):pagenumber：2007,32(1):106-109

Abstract：

The real-time identification via neural network is an important subject in intellectual deep drawing of sheet metal.Because of the redundancy of training data,it makes the convergence of BP neural network slow and imprecise.Using the data reduction and classify function of rough sets,the training data of surplus attribute can be(deleted) and the structure of the neural network can be optimized.Experiments prove that the optimized network converges more quickly and accurately.The relative prediction error precisions are all below 6%.

Funds：

国家自然科学基金资助项目(50375136、59875074)

Reference：

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