Author : Apostolos-Paul Refenes
Publisher : Wiley
Page : 392 pages
File Size : 33,90 MB
Release : 1995-03-28
Category : Business & Economics
ISBN : 9780471943648
Based on original papers which represent new and significant research, developments and applications in finance and investment. The author takes a pragmatic view of neural networks, treating them as computationally equivalent to well-understood, non-parametric inference methods in decision science. The author also makes comparisons with established techniques where appropriate.
Author : Paul D. McNelis
Publisher : Academic Press
Page : 262 pages
File Size : 42,50 MB
Release : 2005-01-05
Category : Business & Economics
ISBN : 0124859674
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and Hong Kong. * Offers a balanced, critical review of the neural network methods and genetic algorithms used in finance * Includes numerous examples and applications * Numerical illustrations use MATLAB code and the book is accompanied by a website
Author : Kamruzzaman, Joarder
Publisher : IGI Global
Page : 299 pages
File Size : 20,61 MB
Release : 2006-03-31
Category : Computers
ISBN : 1591406722
"This book presents a variety of practical applications of neural networks in two important domains of economic activity: finance and manufacturing"--Provided by publisher.
Author : Robert R. Trippi
Publisher : Irwin Professional Publishing
Page : 872 pages
File Size : 30,25 MB
Release : 1996
Category : Business & Economics
ISBN :
This completely updated version of the classic first edition offers a wealth of new material reflecting the latest developments in teh field. For investment professionals seeking to maximize this exciting new technology, this handbook is the definitive information source.
Author : Dirk Emma Baestaens
Publisher : Pitman Publishing
Page : 274 pages
File Size : 28,39 MB
Release : 1994
Category : Business & Economics
ISBN :
Offers an alternative technique in forecasting to the traditional techniques used in trading and dealing. The book explains the shortcomings of traditional techniques and shows how neural networks overcome many of the disadvantages of these traditional systems.
Author : E. Michael Azoff
Publisher :
Page : 224 pages
File Size : 32,42 MB
Release : 1994-09-27
Category : Business & Economics
ISBN :
Comprehensively specified benchmarks are provided (including weight values), drawn from time series examples in chaos theory and financial futures. The book covers data preprocessing, random walk theory, trading systems and risk analysis. It also provides a literature review, a tutorial on backpropagation, and a chapter on further reading and software.
Author : Ann Macintosh
Publisher : Springer Science & Business Media
Page : 223 pages
File Size : 35,98 MB
Release : 2007-10-27
Category : Computers
ISBN : 1846282241
The papers in this volume are the refereed application papers presented at AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2005. The papers present new and innovative developments in the field, divided into sections on Synthesis and Prediction, Scheduling and Search, Diagnosis and Monitoring, Classification and Design, and Analysis and Evaluation. This is the thirteenth volume in the Applications and Innovations series. The series serves as a key reference on the use of AI Technology to enable organisations to solve complex problems and gain significant business benefits. The Technical Stream papers are published as a companion volume under the title Research and Development in Intelligent Systems XXII.
Author : Zhang, Ming
Publisher : IGI Global
Page : 660 pages
File Size : 35,45 MB
Release : 2010-02-28
Category : Computers
ISBN : 1615207120
"This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.
Author : G. Peter Zhang
Publisher : IGI Global
Page : 296 pages
File Size : 35,11 MB
Release : 2004-01-01
Category : Business & Economics
ISBN : 1591401771
Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. Neural Networks in Business Forecasting provides researchers and practitioners with some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.
Author : Kate A. Smith
Publisher : IGI Global
Page : 274 pages
File Size : 12,68 MB
Release : 2003-01-01
Category : Computers
ISBN : 9781931777797
"For professionals, students, and academics interested in applying neural networks to a variety of business applications, this reference book introduces the three most common neural network models and how they work. A wide range of business applications and a series of global case studies are presented to illustrate the neural network models provided. Each model or technique is discussed in detail and used to solve a business problem such as managing direct marketing, calculating foreign exchange rates, and improving cash flow forecasting."
