A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph

Ikno Kim, Junzo Watada

    研究成果: Conference contribution

    抜粋

    Parallel processing functions using molecules have advantages to be exploited for classifying the given relational elements in a digraph. For instance, hierarchical structural modelling is used for classifying complicated objects into a hierarchical structure. In this paper, we consider the example of a digraph of hierarchical structural modelling that can be transformed to sequences of molecules, and propose a biologically intelligent method of encoding molecular sequences of different types, through the hierarchical classification of hierarchical structural modelling. Moreover, we show that this innovative biologically intelligent encoding method can be applied, not only to hierarchical structural modelling, but also to other relational problems composed of elements from digraphs.

    元の言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ページ174-180
    ページ数7
    5712 LNAI
    エディションPART 2
    DOI
    出版物ステータスPublished - 2009
    イベント13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago
    継続期間: 2009 9 282009 9 30

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    番号PART 2
    5712 LNAI
    ISSN(印刷物)03029743
    ISSN(電子版)16113349

    Other

    Other13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
    Santiago
    期間09/9/2809/9/30

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

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  • これを引用

    Kim, I., & Watada, J. (2009). A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 版, 巻 5712 LNAI, pp. 174-180). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 5712 LNAI, 番号 PART 2). https://doi.org/10.1007/978-3-642-04592-9_22