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Evolutionary Approaches to Learning Self-awareness for a Decentralized System

Research Project

Project/Area Number 15K00343
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Soft computing
Research InstitutionThe University of Aizu

Principal Investigator

Liu Yong  会津大学, コンピュータ理工学部, 上級准教授 (60325967)

Project Period (FY) 2015-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords機械学習 / 統計学習 / 計算知能 / 人工ニューラルネットワーク / データマイニング / Neural network learning / Machine learning / Statistical learning / Committee machine / Machine intelligence / neural networks / machine learning / awareness computing / ensemble learning
Outline of Final Research Achievements

A decentralized awareness system with a set of self-aware neural network subsystems has been developed in this project. Awareness neural networks of being aware of their states, behavior and performance can better acquire the right representations of the learned data. They are able to distribute context information through the whole decentralized learning system.
Two levels of self-awareness have been created in the decentralized learning system by negative correlation learning with difference learning and the bounded learning. They are private self-awareness for individual neural networks and public self-awareness for the decentralized learning system.
Awareness neural networks could better meet their requirements for predictions in the applications on both medical and financial data. The research results have been published in the international journals, and presented in a number of international conferences.

Report

(4 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report

Research Products

(20 results)

All 2017 2016 2015

All Journal Article Presentation Book

  • [Journal Article] Error awareness by lower and upper bounds in ensemble learning2016

    • Author(s)
      Yong Liu
    • Journal Title

      International Journal of Pattern Recognition and Artificial Intelligence

      Volume: 30

    • DOI

      10.1142/s021800141660003x

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
  • [Journal Article] Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection2015

    • Author(s)
      Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
    • Journal Title

      Journal of Information Processing

      Volume: 23 Issue: 4 Pages: 497-504

    • DOI

      10.2197/ipsjjip.23.497

    • NAID

      130005088400

    • ISSN
      1882-6652
    • Related Report
      2015 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Awareness computing for intelligent control2015

    • Author(s)
      Qiangfu Zhao, Yong Liu
    • Journal Title

      Journal of the Society of Instrument and Control Engineers

      Volume: 54 Pages: 594-599

    • NAID

      130005094575

    • Related Report
      2015 Research-status Report
    • Peer Reviewed
  • [Presentation] Computational awareness for learning neural network ensembles2017

    • Author(s)
      Yong Liu
    • Organizer
      2017 IEEE International Conference on Information and Automation
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Hybrid negative correlation learning with randomly splitting data2017

    • Author(s)
      Yong Liu
    • Organizer
      2017 IEEE International Conference on Signal Processing, Communications and Computing
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Random separation learning for neural network ensemble2017

    • Author(s)
      Yong Liu
    • Organizer
      2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Build correlation awareness in negative correlation learning2017

    • Author(s)
      Yong Liu
    • Organizer
      2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Bidirectional negative correlation learning2017

    • Author(s)
      Yong Liu
    • Organizer
      The 9th International Symposium on Intelligence Computation and Applications
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Negative selections in ensemble learning2016

    • Author(s)
      Yong Liu
    • Organizer
      The 2016 IEEE Symposium Series on Computational Intelligence
    • Place of Presentation
      Athens, Greece
    • Year and Date
      2016-12-06
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Control of the error signals by self-awareness in committee machines2016

    • Author(s)
      Yong Liu
    • Organizer
      The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics
    • Place of Presentation
      Datong, China
    • Year and Date
      2016-10-15
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Negative selection in negative correlation learning2016

    • Author(s)
      Yong Liu
    • Organizer
      The 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
    • Place of Presentation
      Changsha, China
    • Year and Date
      2016-08-13
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Control of the error signals in negative correlation learning2016

    • Author(s)
      Yong Liu
    • Organizer
      The 2016 IEEE International Conference on Signal Processing, Communications and Computing
    • Place of Presentation
      Hong Kong, China
    • Year and Date
      2016-08-05
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Enforcing negativity in negative correlation learning2016

    • Author(s)
      Yong Liu
    • Organizer
      The 2016 IEEE International Conference on Information and Automation
    • Place of Presentation
      Ningbo, China
    • Year and Date
      2016-07-31
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] How to confine errors in negative correlation learning2016

    • Author(s)
      Yong Liu
    • Organizer
      The 2016 IEEE World Congress on Computational Intelligence
    • Place of Presentation
      Vancouver, Canada
    • Year and Date
      2016-07-24
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Learning self-awareness in committee machines2016

    • Author(s)
      Yong Liu
    • Organizer
      The 2016 International Conference of Machine Learning and Cybernetics
    • Place of Presentation
      Jeju Island, South Korea
    • Year and Date
      2016-07-10
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Negative correlation learning with difference learning2015

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of the 7th International Symposium on Intelligenc Computation and Applications
    • Place of Presentation
      Guangzhou, China
    • Year and Date
      2015-11-21
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] Balanced ensemble learning with adaptive bounds2015

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of the 2015 IEEE International Conference on Signal Processing, Communications and Computing
    • Place of Presentation
      Ningbo, China
    • Year and Date
      2015-09-19
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] Error awareness by lower and upper bounds in ensemble learning2015

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of 2015 11th International Conference on Natural Computation
    • Place of Presentation
      Zhangjiajie, China
    • Year and Date
      2015-08-15
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] Bounded learning for neural network ensembles2015

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of 2015 IEEE International Conference on Information and Automation
    • Place of Presentation
      Lijiang, China
    • Year and Date
      2015-08-08
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Book] Computational Intelligence and Intelligent Systems2016

    • Author(s)
      Kangshun Li, Jin Li, Yong Liu, Aniello Castiglione
    • Total Pages
      737
    • Publisher
      Springer
    • Related Report
      2015 Research-status Report

URL: 

Published: 2015-04-16   Modified: 2019-03-29  

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