Neural network ensemble with temperature control

Pitoyo Hartono*, Shuji Hashimoto

*Corresponding author for this work

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

    2 Citations (Scopus)


    In this paper we propose a model of neural network ensemble composed of a number of multi layer perceptrons (MLP), each with a unique expertise. Using temperature control the most appropriate ensemble member will be automatically activated for a given environment while the irrelevant members will be inhibited. The proposed temperature control will enable the neural network ensemble to work efficiently in multiple environments.

    Original languageEnglish
    Title of host publicationProceedings of the International Joint Conference on Neural Networks
    Place of PublicationUnited States
    Number of pages6
    Publication statusPublished - 1999
    EventInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
    Duration: 1999 Jul 101999 Jul 16


    OtherInternational Joint Conference on Neural Networks (IJCNN'99)
    CityWashington, DC, USA

    ASJC Scopus subject areas

    • Software


    Dive into the research topics of 'Neural network ensemble with temperature control'. Together they form a unique fingerprint.

    Cite this