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	Multiple criteria inventory classification based on principal components analysis and neural network
	Lei, QS ; Chen, J ; Zhou, Q
	2010-05-10 ; 2010-05-10
会议名称	ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS ; 2nd International Symposium on Neural Networks ; Chongqing, PEOPLES R CHINA ; Web of Science ; INSPEC
关键词	Computer Science, Theory & Methods
中文摘要	The paper presents two methods for ABC classification of stock keeping units (SKUs), The first method is to apply principal components analysis (PCA) to classify inventory. The second method combines PCA with artificial neural networks (ANNs) with BP algorithm. The reliability of the models is tested by comparing their classification ability with a data set. The results show that the hybrid method could not only overcome the shortcomings of input limitation in ANNs, but also further improve the prediction accuracy.
会议录出版者	SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19812]
专题	清华大学
推荐引用方式 GB/T 7714	Lei, QS,Chen, J,Zhou, Q. Multiple criteria inventory classification based on principal components analysis and neural network[C]. 见:ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2nd International Symposium on Neural Networks, Chongqing, PEOPLES R CHINA, Web of Science, INSPEC.

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