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Neural networks for control in an artificial brain of a recognition and tracking system

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Abstract

This paper presents a new information-processing machine which is called the artificial brain (ABrain). It also considers the structure of artificial neural networks constructed in a Ricoh neurocomputer RN-2000 in the ABrain to track given trajectories which are produced in a micro-computer or by a light moved by hand in a recognition and tracking system.

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References

  1. Sugisaka M (1996) Neurocomputer control for tracking of moving objects. Proceedings of the International Symposium on Artificial Life and Robotics, Beppu, Japan, pp 243–247

  2. Sugisaka M (1996) Pattern recognition using a neurocomputer. Proceedings of the International Symposium on Artificial Life and Robotics, Beppu, Japan, pp 248–251

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  4. Oteki S, Hashimoto A, Furuta T, Motomura S, Watanabe T, Stork DG, Eguchi H (1993) A digital neural network VLSI with on-chip learning using stochastic pulse encoding. Proceedings of the 1993 International Joint Conference on Neural Networks, Nagoya, Japan, pp 3039–3045

  5. Sugisaka M, Motomura S, Kitaguchi T, Eguchi H (1994) Hardwarebased neural identification: linear dynamical systems. Proceedings of the International Workshop on Intelligent systems and Innovative Computation—The 6th Bellman Continuum-, Tokyo, Japan, pp 124–131

  6. Sugisaka M (1995) Hardware-based neural identification: nonlinear dynamical systems. Proceedings of the 2nd Asia-Pacific Conference on Conterol and Measurement, Wuhan-Chongqing, PR China, pp 255–259

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Authors and Affiliations

  1. Department of Electrical Engineering, Oita University, 870-1192, Oita, Japan

    M. Sugisaka & N. Tonoya

  2. Research and Development Center CCRG, Ricoh Co. Ltd., 223, Yokohama, Japan

    T. Furuta

Authors
  1. M. Sugisaka
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  2. N. Tonoya
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  3. T. Furuta
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Corresponding author

Correspondence to M. Sugisaka.

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Sugisaka, M., Tonoya, N. & Furuta, T. Neural networks for control in an artificial brain of a recognition and tracking system. Artificial Life and Robotics 2, 119–122 (1998). https://doi.org/10.1007/BF02471167

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  • DOI: https://doi.org/10.1007/BF02471167

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