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Table of contents (7 chapters)
Keywords
About this book
Reviews
From the reviews:
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
"...Fine must be congratulated for a coherent presentation of carefully selected material. Given the diversity of the field, this represented a serious challenge. Again, Feeforward Neural Network Methodlogy is an excellent reference for whoever wants to be brought to the frontier of research. I enthusiastically recommend it."
Authors and Affiliations
Bibliographic Information
Book Title: Feedforward Neural Network Methodology
Authors: Terrence L. Fine
Series Title: Information Science and Statistics
DOI: https://doi.org/10.1007/b97705
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
Hardcover ISBN: 978-0-387-98745-3Published: 11 June 1999
Softcover ISBN: 978-1-4757-7309-5Published: 23 April 2013
eBook ISBN: 978-0-387-22649-1Published: 06 April 2006
Series ISSN: 1613-9011
Series E-ISSN: 2197-4128
Edition Number: 1
Number of Pages: XVI, 340
Topics: Artificial Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Mathematical Methods in Physics, Numerical and Computational Physics, Simulation, Complexity