An edition of Neural networks in business
(2002)
Neural networks in business
techniques and applications
by Kate A. Smith
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Previews available in: English
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Neural networks in business: techniques and applications
2002, Idea Group Pub.
electronic resource :
in English
1591400201 9781591400202
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Book Details
Table of Contents
Neural networks for business : an introduction / Kate A. Smith
Predicting consumer retail sales using neural networks / G. Peter Zhang, Min Qi
Using neural networks to model premium price sensitivity of automobile insurance customer / Ai Cheo Yeo ... [et al.]
A neural network application to identify high-value customers for a large retail store in Japan / Edward Ip ... [et al.]
Segmentation of the Portuguese clients of Pousadas de Portugal / Margarida G.M.S. Cardoso, Fernando Moura-Pires
Neural networks for target selection in direct marketing / Rob Potharst and Uzay Kaymak, Wim Pijls
Prediction of survival and attrition of click-and-mortar corporations / Indranil Bose and Anurag Agarwal
Corporate strategy and wealth creation : an application of neural network analysis / Caron H. St. John and Nagraj (Raju) Balakrishnan, James O. Fiet
Credit rating classification using self-organizing maps / Roger P.G.H. Tan, Jan van den Berg and Willem-Max van den Bergh
Credit scoring using supervised and unsupervised neural networks / David West and Cornelius Muchineuta
Predicting automobile insurance losses using artificial neural networks / Fred L. Kitchens, John D. Johnson, Jatinder N.D. Gupta
Neural networks for technical forecasting of foreign exchange rates / JingTao Yao, Chew Lim Tan
Using neural networks to discover patterns in international equity markets : a case study / Mary E. Malliaris and Linda Salchenberger
Comparing conventional and artificial neural network models for the pricing of options / Paul Lajbcygier
Combining supervised and unsupervised neural networks for improved cash flow forecasting / Kate A. Smith and Larisa Lokmic.
Edition Notes
Includes bibliographical references and index.
Electronic access restricted to subscribers.
Text (HTML/netLibrary eBook) and search engine.
Electronic data. Boulder, Colo. : NetLibrary, 2002.
System requirements for online version: netLibrary eBook Reader (for off-line reading) ; Windows 95/98/NT 4.0 or higher ; Pentium 100, 32 MB RAM, 20MB free disk space ; not available for WebTV, Macintosh, Unix or Linux.
Mode of access: Intranet.
Available for non-commercial, internal use by students, staff, and faculty for academic and research purposes only.
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| September 21, 2024 | Edited by ImportBot | import existing book |
| July 28, 2014 | Created by ImportBot | import new book |