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  1. 1

    Neuro-inspired computing using resistive synaptic devices

    Published 2017
    Available for University of the Philippines System via SpringerLink. Click here to access
    Also available remotely for University of the Philippines System via SpringerLink. Click here to access thru EZproxy
    Electronic Resource

    Neuro-inspired computing using resistive synaptic devices
  2. 2

    High dimensional neurocomputing growth, appraisal and applications by Tripathi, Bipin Kumar

    Published 2015
    Available for University of the Philippines System via SpringerLink. Click here to access
    Also available remotely for University of the Philippines System via SpringerLink. Click here to access thru EZproxy
    Electronic Resource

    High dimensional neurocomputing growth, appraisal and applications
  3. 3

    Recruitment learning by Diederich, Joachim

    Published 2011
    Available for University of the Philippines Diliman via SpringerLink. Click here to access
    Electronic Resource

    Recruitment learning
  4. 4

    Statistics and neural network advances at the interface

    Published 1999
    Book

    Statistics and neural network advances at the interface
  5. 5

    Unsupervised learning foundations of neural computation

    Published 1999
    Book

    Unsupervised learning foundations of neural computation
  6. 6

    The 1996 IEEE International Conference on Neural Networks June 3-6, 1996, Sheraton Washington Hotel, Washington, DC, USA.

    Published 1996
    Book

    The 1996 IEEE International Conference on Neural Networks June 3-6, 1996, Sheraton Washington Hotel, Washington, DC, USA.
  7. 7

    Neural networks in bioprocessing and chemical engineering by Baughman, D. Richard

    Published 1995
    Book

    Neural networks in bioprocessing and chemical engineering
  8. 8

    Neurocomputers an overview of neural networks in VLSI by Glesner, Manfred

    Published 1994
    Book

    Neurocomputers an overview of neural networks in VLSI
  9. 9

    Machines that learn based on the principles of empirical control by Brown, Robert Alan 1938-

    Published 1994
    Book

    Machines that learn based on the principles of empirical control
  10. 10

    Introduction to the theory of neural computation by Hertz, John

    Published 1991
    Book

    Introduction to the theory of neural computation

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