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Intelligent and Evolutionary Systems pp 103–116Cite as

The Convolutional Neural Network Model Based on an Evolutionary Approach For Interactive Picture Book

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Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 8))

Abstract

Creating interactive picture books based on human “Kansei” is one of the most interesting and difficult issues in the artificial intelligence field. We have proposed a novel interactive picture book based on Pictgent (Picture Information Shared Conversation Agent) and CASOOK (Creative Animating Sketchbook). Since our system accepts human sketches instead of natural languages, a high degree of sketch recognition accuracy is required. Recently, convolutional neural networks (CNNs) have been applied to various image- recognition tasks successfully. We have also adopted a CNN model for the sketch recognition of the proposed interactive picture book. However, it takes a considerable effort to tune the hyperparameters of a CNN. In this paper, we propose a novel parameter tuning method for CNNs using an evolutionary approach. The effectiveness of the proposed method is confirmed by a computer simulation that uses, as an example, a scribble-object recognition problem for the interactive picture book.

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Acknowledgments

A part of this work was supported by JSPS KAKENHI Grant, Grant-in-Aid for Scientific Research (C), 26330282. A part of this work was also supported by JSPS KAKENHI Grant, Grant-in-Aid for JSPS Fellows, 16J10941.

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Authors and Affiliations

  1. College of Engineering, Osaka Prefecture University, 1-1 Gakuencho, Nakaku, Sakai, Osaka, 599-8531, Japan

    Saya Fujino

  2. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuencho, Nakaku, Sakai, Osaka, 599-8531, Japan

    Taku Hasegawa, Naoki Mori & Keinosuke Matsumoto

  3. Information and Media Center, Toyohashi University of Technology, 1-1 Hibarigaoka, Tempaku-cho, Toyohashi, Aichi, 441-8580, Japan

    Miki Ueno

Authors
  1. Saya Fujino
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  2. Taku Hasegawa
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  3. Miki Ueno
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  4. Naoki Mori
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  5. Keinosuke Matsumoto
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Corresponding author

Correspondence to Saya Fujino .

Editor information

Editors and Affiliations

  1. School of Engineering and Information Technology, Australian Defence Force Academy, The University of New South Wales, Canberra, Australian Capital Territory, Australia

    George Leu

  2. School of Engineering and Information Technology, Australian Defence Force Academy, The University of New South Wales, Canberra, Australian Capital Territory, Australia

    Hemant Kumar Singh

  3. School of Engineering and Information Technology, Australian Defence Force Academy, The University of New South Wales, Canberra, Australian Capital Territory, Australia

    Saber Elsayed

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© 2017 Springer International Publishing AG

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Cite this paper

Fujino, S., Hasegawa, T., Ueno, M., Mori, N., Matsumoto, K. (2017). The Convolutional Neural Network Model Based on an Evolutionary Approach For Interactive Picture Book. In: Leu, G., Singh, H., Elsayed, S. (eds) Intelligent and Evolutionary Systems. Proceedings in Adaptation, Learning and Optimization, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-49049-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-49049-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49048-9

  • Online ISBN: 978-3-319-49049-6

  • eBook Packages: EngineeringEngineering (R0)

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