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Sunday, May 10, 2020 | History

5 edition of Neural networks and artificial intelligence for biomedical engineering found in the catalog.

Neural networks and artificial intelligence for biomedical engineering

D. L. Hudson

Neural networks and artificial intelligence for biomedical engineering

by D. L. Hudson

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  • 7 Currently reading

Published by Institute of Electrical and Electronics Engineers in New York .
Written in English

    Subjects:
  • Artificial intelligence -- Medical applications,
  • Neural networks (Computer science),
  • Expert systems (Computer science),
  • Biomedical engineering -- Computer simulation

  • Edition Notes

    Includes bibliographical references and index.

    StatementDonna L. Hudson, Maurice E. Cohen.
    SeriesIEEE Press series in biomedical engineering
    ContributionsCohen, M. E.
    Classifications
    LC ClassificationsR859.7.A78 H84 2000
    The Physical Object
    Paginationxxiii, 306 p. :
    Number of Pages306
    ID Numbers
    Open LibraryOL20699560M
    ISBN 100780334043
    LC Control Number99030757
    OCLC/WorldCa41238541

    ( views) Programming Neural Networks with Encog3 in Java by Jeff Heaton - Heaton Research, The book is an introduction to Neural Networks and Artificial Intelligence. Neural network . This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN , held in Xersonisos, Crete, Greece, in May The .

    A major shortcoming of traditional strategies is the fact that solving chemical engineering problems due to the highly nonlinear behavior of chemical processes is often impossible or very difficult. Today, Cited by: 1. Warren McCulloch and Walter Pitts () opened the subject by creating a computational model for neural networks. In the late s, D. O. Hebb created a learning hypothesis based on the .

      Modification proposed for SRK equation of state — Oil & Gas Journal Osman, EA, and Al-Marhoun, MA, "Artificial neural networks models for predicting PVT properties of oil field brines," . Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of applications in a variety of 5/5(3).


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Neural networks and artificial intelligence for biomedical engineering by D. L. Hudson Download PDF EPUB FB2

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Neural Networks and Artificial Intelligence for Biomedical Engineering (IEEE Press Series on Biomedical Engineering) by Donna L. Hudson () Hardcover – January 1, out of 5 stars 1 3/5(1). Artificial neural networks (ANNs), the branch of artificial intelligence, date back to the s, when McCulloch and Pitts developed the first neural model.

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