An Intelligent Modeling of Oil Consumption
作者: Haruna ChiromaSameem AbdulkareemSanah Abdullahi MuazAdamu I. AbubakarEdi SutoyoMungad MungadYounes SaadiEka Novita SariTutut Herawan
作者单位: Department of Artificial Intelligence, University of Malaya;;Department of Computer Science, Federal College of Education (Technical), School of Science;;Department of Software Engineering, University of Malaya;;Department of Information System, International Islamic University Malaysia;;Department of Information Systems, University of Malaya;;University Tun Hussein Onn Malaysia;;AMCS Research Center;;Universiti Malaysia
英文丛书称: Advances in Intelligent Systems and Computing;;Lecture Notes in Computer Science;;LNEE
出版社: Springer International Publishing,   2015
ISBN: 978-3-319-11217-6
来源数据库: Springer Nature Book
DOI: 10.1007/978-3-319-11218-3_50
关键词: Artificial Bee ColonyNeural NetworkLevenberg-MarquardtOil ConsumptionPrediction
原始语种摘要: Abstract In this study, we select Middle East countries involving Jordan, Lebanon, Oman, and Saudi Arabia for modeling oil consumption based on computational intelligence methods. The limitations associated with Levenberg-Marquardt (LM) Neural Network (NN) motivated this research to optimize the parameters of NN through Artificial Bee Colony Algorithm (ABC-LM) to build a model for the prediction of oil consumption. The proposed model was competent to predict oil consumption with improved accuracy and convergence speed. The ABC-LM performs better than the standard LMNN, Genetically optimized NN, and Back-propagation NN. The proposed model may guide policy makers in the formulation of domestic and international policies related to oil consumption and economic development. The approach...
全文获取路径: Springer Nature 

  • consumption 消耗
  • optimize 优选
  • model 模型
  • economic 经济的
  • proposed 建议的
  • approach 
  • development 开发
  • international 国际的
  • ABC ABC automatic coding system
  • formulation 配方