Active learning algorithm of neural network

Pitoyo Hartono, Shuji Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In training a neural network we usually have to create a set of learning samples, which is a number of sample problem and desired output pairs. However sometimes it is difficult to provide an effective learning sample especially when the structure of the pattern space is complex. In this paper we introduce an algorithm that can actively self produce the effective sample pattern while advancing the learning process.

    Original languageEnglish
    Title of host publicationProceedings of the International Joint Conference on Neural Networks
    Place of PublicationPiscataway, NJ, United States
    PublisherPubl by IEEE
    Pages2548-2551
    Number of pages4
    Volume3
    ISBN (Print)0780314212, 9780780314214
    Publication statusPublished - 1993
    EventProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) - Nagoya, Jpn
    Duration: 1993 Oct 251993 Oct 29

    Other

    OtherProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3)
    CityNagoya, Jpn
    Period93/10/2593/10/29

    ASJC Scopus subject areas

    • Engineering(all)

    Fingerprint Dive into the research topics of 'Active learning algorithm of neural network'. Together they form a unique fingerprint.

  • Cite this

    Hartono, P., & Hashimoto, S. (1993). Active learning algorithm of neural network. In Proceedings of the International Joint Conference on Neural Networks (Vol. 3, pp. 2548-2551). Publ by IEEE.