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A Situated Information Articulation Neural Network: VSF Network

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Book cover Methodologies for Knowledge Discovery and Data Mining (PAKDD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1574))

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Abstract

When a system will recognize the world around one, system requires segmenting or articulating information of the world. In this paper, we introduce a neural network model called VSF network for situated articulation. At first, we discuss situation and its relation to information coding. Next, we introduce the architecture and main procedure of the VSF network. Finally, we examine the validity of VSF-network model through the experiment which applies the VSF-network to a path planning task of a rover.

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Author information

Authors and Affiliations

  1. Dpt. of engineering, The university of Tokyo, Komaba 4-6-1, Meguro-ku Tokyo, 153, Japan

    Y. Kakemoto & S. Nakasuka

Authors
  1. Y. Kakemoto
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  2. S. Nakasuka
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Systems Engineering, Yamaguchi University, Tokiwa-Dai, 2557, Ube, 755, Japan

    Ning Zhong

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Lizhu Zhou

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© 1999 Springer-Verlag Berlin Heidelberg

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Kakemoto, Y., Nakasuka, S. (1999). A Situated Information Articulation Neural Network: VSF Network. In: Zhong, N., Zhou, L. (eds) Methodologies for Knowledge Discovery and Data Mining. PAKDD 1999. Lecture Notes in Computer Science(), vol 1574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48912-6_34

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  • DOI: https://doi.org/10.1007/3-540-48912-6_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65866-5

  • Online ISBN: 978-3-540-48912-2

  • eBook Packages: Springer Book Archive

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