Neural Networks in Business

Techniques and Applications

By: Kate A. Smith, Jatinder N. D. Gupta

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Hardcover | 17 October 2012

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Hardcover
272 Pages

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26.04 x 18.42 x 1.27

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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.

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You Can Find This Book In

Non-Fiction Business & Management Business Communication & Presentation Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Management & Management Techniques

Preface	p. i
Acknowledgements	p. v
Introduction
Neural Networks for Business: An Introduction	p. 1
Applications to Retail Sales and Marketing
Predicting Consumer Retail Sales Using Neural Networks	p. 26
Using Neural Networks to Model Premium Price Sensitivity of Automobile Insurance Customer	p. 41
A Neural Network Application to Identify High-Value Customers for a Large Retail Store in Japan	p. 55
Segmentation of the Portuguese Clients of Pousadas de Portugal	p. 70
Neural Networks for Target Selection in Direct Marketing	p. 89
Applications to Risk Assessment
Prediction of Survival and Attrition of Click-and-Mortar Corporations	p. 112
Corporate Strategy and Wealth Creation: An Application of Neural Network Analysis	p. 124
Credit Rating Classification Using Self-Organizing Maps	p. 140
Credit Scoring Using Supervised and Unsupervised Neural Networks	p. 154
Predicting Automobile Insurance Losses Using Artificial Neural Networks	p. 167
Applications to Financial Markets
Neural Networks for Technical Forecasting of Foreign Exchange Rates	p. 189
Using Neural Networks to Discover Patterns in International Equity Markets: A Case Study	p. 205
Comparing Conventional and Artificial Neural Network Models for the Pricing of Options	p. 220
Combining Supervised and Unsupervised Neural Networks for Improved Cash Flow Forecasting	p. 236
About the Authors	p. 245
Index	p. 255
Table of Contents provided by Syndetics. All Rights Reserved.

Neural Networks in Business

Techniques and Applications

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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