Application of Artificial Neural Networks to Multiple Criteria Inventory Classification

被引：0
|
作者：
Simunovic, Katica [1 ]
Simunovic, Goran [1 ]
Saric, Tomislav [1 ]
机构：
[1] JJ Strossmayer Univ Osijek, Fac Mech Engn, HR-35000 Slavonski Brod, Croatia
来源：
STROJARSTVO | 2009年 / 51卷 / 04期
关键词：
Analytical hierarchy process; Artificial intelligence; Multiple criteria inventory classfication; Neural network; ABC ANALYSIS; OPTIMIZATION;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Inventory classification is a very important part of inventory control which represents the technique of operational research discipline. A systematic approach to the inventory control and classification may have a significant influence on company competitiveness. The paper describes the results obtained by investigating the application of neural networks in multiple criteria inventory classification. Various structures of a back-propagation neural network have been analysed and the optimal one with the minimum Root Mean Square error selected. The predicted results are compared to those obtained by the multiple criteria classification using the analytical hierarchy process.
引用
收藏
页码：313 / 321
页数：9
相关论文
共 50 条
  • [31] MORPHOLOGICAL CLASSIFICATION OF GALAXIES BY ARTIFICIAL NEURAL NETWORKS
    STORRIE-LOMBARDI, MC
    LAHAV, O
    SODRE, L
    STORRIE-LOMBARDI, LJ
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 1992, 259 (01) : P8 - P12
  • [32] Plant Classification Using Artificial Neural Networks
    Pacifico, Luciano D. S.
    Macario, Valmir
    Oliveira, Joao F. L.
    2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
  • [33] Surface classification using artificial neural networks
    Mainsah, E
    Ndumu, DT
    Ndumu, AN
    THREE-DIMENSIONAL IMAGING AND LASER-BASED SYSTEMS FOR METROLOGY AND INSPECTION II, 1997, 2909 : 139 - 150
  • [34] DATA CLASSIFICATION BASED ON ARTIFICIAL NEURAL NETWORKS
    Gu, Xiao-Feng
    Liu, Lin
    Li, Jian-Ping
    Huang, Yuan-Yuan
    Lin, Jie
    2008 INTERNATIONAL CONFERENCE ON APPERCEIVING COMPUTING AND INTELLIGENCE ANALYSIS (ICACIA 2008), 2008, : 223 - 226
  • [35] Atrial fibrillation classification with artificial neural networks
    Kara, Sadik
    Okandan, Mustafa
    PATTERN RECOGNITION, 2007, 40 (11) : 2967 - 2973
  • [36] ARTIFICIAL NEURAL NETWORKS FOR MEDICAL CLASSIFICATION DECISIONS
    KATTAN, MW
    BECK, JR
    ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE, 1995, 119 (08) : 672 - 677
  • [37] CLASSIFICATION OF ASTEROID FAMILIES WITH ARTIFICIAL NEURAL NETWORKS
    Vujicic, D.
    Pavlovic, R.
    Milosevic, D.
    Djordevic, B.
    Randjic, S.
    Stojic, D.
    SERBIAN ASTRONOMICAL JOURNAL, 2020, 201 : 39 - 48
  • [38] Artificial neural networks and their application to weapons
    Webster, Willard P., 1600, (103):
  • [39] An application of artificial neural networks in linguistics
    Zupan, J
    SCIENTIFIC APPLICATIONS OF NEURAL NETS, 1999, 522 : 224 - 242
  • [40] ARTIFICIAL NEURAL NETWORKS AND THEIR APPLICATION TO WEAPONS
    WEBSTER, WP
    SHUMAKER, RP
    WARE, JR
    NAVAL ENGINEERS JOURNAL, 1991, 103 (04) : 96 - 98
12345