Classifying U.S. manufacturing plant locations using an artificial neural network

作者: M. Tarek Gaber , Colin O. Benjamin

DOI: 10.1016/0360-8352(92)90073-S

关键词: EngineeringIntelligent decision support systemArtificial neural networkComponent (UML)Key (cryptography)Artificial neural systemArtificial intelligenceWork (electrical)

摘要: Abstract This paper examines the application of an artificial neural network (ANN) for classifying contiguous states in USA according to their manufacturing climate. The uses a self-organizing paradigm, ART2. performance ANN was very encouraging. Its results were compared those obtained from scoring model that ranked utilizing same criteria. Future work is intended further improve network's and develop Artificial Neural System (ANS) will assist decision makers selecting best locations facilities U.S.A. ANS seen as key component intelligent support system improving enhancing plant location making.

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