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  1. Mantle plumes beneath the South Pacific superswell revealed by finite frequency P tomography using regional seafloor and island data

    Obayashi, M | Online Contents | 2016

  2. Tearing of Stagnant Slab A tear in the plate in the mantle provides information on the subduction history of the western Pacific

    Obayashi, M. | British Library Online Contents | 2009

  3. TICAD, un processus favorable au developpement de l'Afrique?

    Obayashi, M. | British Library Online Contents | 2004

  4. A Bayesian Local Linear Wavelet Neural Network

    Kobayashi, K. / Obayashi, M. / Kuremoto, T. | British Library Online Contents | 2009

  5. A Bayesian Local Linear Wavelet Neural Network

    Kobayashi, K. / Obayashi, M. / Kuremoto, T. | British Library Conference Proceedings | 2009

  6. A random-forests-based classifier using class association rules and its application to an intrusion detection system

    Mabu, S. / Gotoh, S. / Obayashi, M. et al. | British Library Online Contents | 2016

  7. Associative memory and amount of mutual information in a chaotic neural network introducing function typed synaptic weights

    Obayashi, M. / Yuda, K. | IEEE | 2002

  8. A robust reinforcement learning using the concept of sliding mode control

    Obayashi, M. / Nakahara, N. / Kuremoto, T. et al. | Online Contents | 2009

  9. A robust reinforcement learning using the concept of sliding mode control

    Obayashi, M. / Nakahara, N. / Kuremoto, T. et al. | Online Contents | 2009

  10. A robust reinforcement learning using the concept of sliding mode control

    Obayashi, M. / Nakahara, N. / Kuremoto, T. et al. | Springer Verlag | 2009

  11. Time series forecasting using a deep belief network with restricted Boltzmann machines

    Kuremoto, T. / Kimura, S. / Kobayashi, K. et al. | British Library Conference Proceedings | 2014

  12. How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems

    Kuremoto, T. / Obayashi, M. / Kobayashi, K. et al. | British Library Conference Proceedings | 2014

  13. Time series forecasting using a deep belief network with restricted Boltzmann machines

    Kuremoto, T. / Kimura, S. / Kobayashi, K. et al. | British Library Online Contents | 2014

  14. How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems

    Kuremoto, T. / Obayashi, M. / Kobayashi, K. et al. | British Library Online Contents | 2014

  15. A Robust Control System Based on a Cerebellar Perceptron Improved Model

    Uchiyama, S. / Obayashi, M. / Kuremoto, T. et al. | British Library Online Contents | 2013

  16. A method for analyzing the spatiotemporal changes of chaotic neural networks

    Watanabe, S. / Kuremoto, T. / Kobayashi, K. et al. | British Library Online Contents | 2013

  17. A new 1,3-dipolar cycloaddition reaction

    National licence
    Synthesis of some isoxazolidine derivatives
    Ochiai, M. / Obayashi, M. / Morita, K. | Elsevier | 1966

  18. Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree

    Kobayashi, K. / Kurano, T. / Kuremoto, T. et al. | British Library Conference Proceedings | 2012

  19. A learning Fuzzy Petri net model

    Feng, L. / Obayashi, M. / Kuremoto, T. et al. | British Library Online Contents | 2012

  20. Secure cooperation in a distributed robot system using active RFIDs

    Obayashi, M. / Nishiyama, H. / Mizoguchi, F. | British Library Online Contents | 2006
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