Direction Finding with Artificial Neural Networks

Direction Finding with Artificial Neural Networks
Author :
Publisher :
Total Pages : 264
Release :
ISBN-10 : MINN:31951D00973783L
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Direction Finding with Artificial Neural Networks by : Daniel Jerzy Goryn

Download or read book Direction Finding with Artificial Neural Networks written by Daniel Jerzy Goryn and published by . This book was released on 1992 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Direction Finding with Artificial Neural Networks Related Books

Direction Finding with Artificial Neural Networks
Language: en
Pages: 264
Authors: Daniel Jerzy Goryn
Categories:
Type: BOOK - Published: 1992 - Publisher:

DOWNLOAD EBOOK

Journal of Artificial Neural Networks
Language: en
Pages: 616
Authors:
Categories: Neural networks (Computer science)
Type: BOOK - Published: 1994 - Publisher:

DOWNLOAD EBOOK

Modern Antenna Handbook
Language: en
Pages: 1617
Authors: Constantine A. Balanis
Categories: Technology & Engineering
Type: BOOK - Published: 2011-09-20 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The most up-to-date, comprehensive treatment of classical and modern antennas and their related technologies Modern Antenna Handbook represents the most current
Artificial Neural Networks - ICANN 2001
Language: en
Pages: 1248
Authors: Georg Dorffner
Categories: Computers
Type: BOOK - Published: 2001-08-13 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the International Conference on Artificial Neural Networks,ICANN 2001, held in Vienna, Austria in August 2001.
Multivariate Statistical Machine Learning Methods for Genomic Prediction
Language: en
Pages: 707
Authors: Osval Antonio Montesinos López
Categories: Technology & Engineering
Type: BOOK - Published: 2022-02-14 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statis