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A Novel Chicken Swarm Neural Network Model for Crude Oil Price Prediction

  • Abdullah KhanEmail author
  • Rahmat Shah
  • Junaid Bukhari
  • Nasreen Akhter
  • Attaullah
  • Muhammad Idrees
  • Hilal Ahmad
Chapter
Part of the Green Energy and Technology book series (GREEN)

Abstract

For optimization applications, an innovative bio inspired algorithm of Chicken Swarm Optimization (CSO) is suggested, the CSO represents hierarchy of chicken swarm. Chicken Swarm Optimization extracts the chickens swarm intelligence that can be used efficiently to optimize problems. This research investigates performance of proposed model Chicken-Swarm Optimization in hybrid with neural network (Chicken S-NN) to find the local minima and slow convergence. Performance of the Chicken S-NN model is compared with ABCNN (Artificial Bee Colony Neural Network) and ABCBP (Artificial Bee Colony Back-Propagation). From the results of training and tested data, this is evident that the proposed (Chicken S-NN) algorithm performs better than the other models with respect to accuracy and Mean Square Error (MSE).

Keywords

Chicken swarm optimization Local minima Back-propagation Artificial Bee Colony 

Notes

Acknowledgements

I would like to say special thanks to all the authors for helping in this research.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Abdullah Khan
    • 1
    Email author
  • Rahmat Shah
    • 2
  • Junaid Bukhari
    • 1
  • Nasreen Akhter
    • 4
  • Attaullah
    • 1
  • Muhammad Idrees
    • 3
  • Hilal Ahmad
    • 1
  1. 1.Institute of Business and Management Science, Agricultural UniversityPeshawarPakistan
  2. 2.Department of Computer ScienceCECOS University of IT & Emerging SciencesPeshawarPakistan
  3. 3.Department of Agriculture Extension Education and CommunicationAgricultural UniversityPeshawarPakistan
  4. 4.Department of Computer ScienceFAST National UniversityIslamabadPakistan

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