Business Applications Of Neural Networks: The State-of-the-art Of Real-world Applications (Hardcover)


Neural networks are increasingly being used in real-world business applications and, in some cases, such as fraud detection, they have already become the method of choice. Their use for risk assessment is also growing and they have been employed to visualise complex databases for marketing segmentation. This boom in applications covers a wide range of business interests -- from finance management, through forecasting, to production. The combination of statistical, neural and fuzzy methods now enables direct quantitative studies to be carried out without the need for rocket-science expertise.

This book reviews the state-of-the-art in current applications of neural-network methods in three important areas of business analysis. It includes a tutorial chapter to introduce new users to the potential and pitfalls of this new technology.


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Product Description

Neural networks are increasingly being used in real-world business applications and, in some cases, such as fraud detection, they have already become the method of choice. Their use for risk assessment is also growing and they have been employed to visualise complex databases for marketing segmentation. This boom in applications covers a wide range of business interests -- from finance management, through forecasting, to production. The combination of statistical, neural and fuzzy methods now enables direct quantitative studies to be carried out without the need for rocket-science expertise.

This book reviews the state-of-the-art in current applications of neural-network methods in three important areas of business analysis. It includes a tutorial chapter to introduce new users to the potential and pitfalls of this new technology.

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Product Details

General

Imprint

World Scientific Publishing Co Pte Ltd

Country of origin

Singapore

Series

Progress In Neural Processing, 13

Release date

September 2000

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2000

Editors

, ,

Dimensions

230 x 161 x 17mm (L x W x T)

Format

Hardcover

Pages

220

ISBN-13

978-981-02-4089-9

Barcode

9789810240899

Categories

LSN

981-02-4089-9



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