Item description for Neural Networks in Business: Techniques and Applications by Kate A. Smith, Kate A. Smith & Jatinder N. D. Gupta...
Neural Networks in Business: Techniques and Applications aims to be an introductory reference book for professionals, students and academics interested in applying neural networks to a variety of business applications. The book introduces the three most common neural network models and how they work, followed by a wide range of business applications and a series of case studies presented from contributing authors around the world. Each chapter serves as a tutorial describing how to use the previously described neural network models to solve a given business problem.
Promise Angels is dedicated to bringing you great books at great prices. Whether you read for entertainment, to learn, or for literacy - you will find what you want at promiseangels.com!
Est. Packaging Dimensions: Length: 0.5" Width: 7.25" Height: 10.25" Weight: 1.4 lbs.
Release Date Jan 25, 2002
Publisher IGI Global
ISBN 1930708319 ISBN13 9781930708310
Availability 103 units. Availability accurate as of Jan 16, 2017 06:30.
Usually ships within one to two business days from La Vergne, TN.
Orders shipping to an address other than a confirmed Credit Card / Paypal Billing address may incur and additional processing delay.
More About Kate A. Smith, Kate A. Smith & Jatinder N. D. Gupta
Smith is Deputy Head and Director of Research in the School of Business Systems at Monash University, Australia. She holds a B.S. in Mathematics and a Ph.D. in Electrical Engineering.
Reviews - What do customers think about Neural Networks in Business: Techniques and Applications?
FANTASTIC Book for both Reference and Study Sep 15, 2002
This is a great book for Researchers, Students, and anyone interested in the *business* use and applications of Artificial Neural Networks.
As a graduate student, I was required to read Trippi and Turban's book - a simple compilation of research papers with no explanation as to what we were supposed to be getting out of each article.
Smith's book far exceedes Trippi and Turban's. Smith is easier to read and comprehend because she begins each section with an introductory chapter. Then follows with several well-written research examples that illustrate her intorduction and support her guidelines and procedures.
A must-read for anybody who intendes to use Artificial Neural Networks for research, school, or personal interest.