Dendritic Neuron Model Trained by Biogeography-Based Optimization for Crude Oil Price Forecasting

Shi Wang, Daiki Sugiyama, Jian Sun, Lin Yang, Shangce Gao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

Recent research reveals that single neuron with flexible dendritic plasticity can perform computation and information processing. Several dendritic neuron models have been proposed and achieving great success in various applications. All previous models use error back-propagation (BP) training method to adjust weights and thresholds in the model. Due to the inherent local search properties of BP, their performance usually suffers from the local optima problem. In this paper, we propose a biogeography-based optimization method to train the dendritic neuron model. Experiment is conducted for crude oil price forecasting and the results suggest that the proposed method can perform very well in comparison with the traditional multiple-layered perceptron.

Original languageEnglish
Title of host publicationProceedings - 2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages36-40
Number of pages5
ISBN (Electronic)9781538658369
DOIs
StatePublished - 2018/11/09
Event10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018 - Hangzhou, China
Duration: 2018/08/252018/08/26

Publication series

NameProceedings - 2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018
Volume1

Conference

Conference10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018
Country/TerritoryChina
CityHangzhou
Period2018/08/252018/08/26

Keywords

  • Biogeography based Optimization
  • Computational Intelligence
  • Crude Oil Price Forecasting
  • Dendritic Neuron Model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Computational Mathematics
  • Control and Optimization
  • Computer Science Applications

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