Bio-Mimetic Approaches in Management Science
Management Science is often confronted with optimization problems characterised by weak underlying theoretical models and complex constraints. Among them, one finds data analysis, pattern recognition (classification, multidimensional analysis, discriminan
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Advances in Computational Management Science VOLUMEl
SERIES EDITORS Hans Amman, University ofAmsterdam, Amsterdam, The Netherlands Berc Rustem, Imperial College, UK
EDITORIAL BOARD Christophe Deissenberg, University ofNantes Artbur Farley, University of Oregon Manfred Gilli, University ofGeneva David Kendrick, University ofAmsterdam David Luenberger, Stanford University Rik Maes, University ofAmsterdam Istvan Maros, Imperial College John Mulvey, Princeton University Anna Nagurney, University ofMassachusetts Soren Nielsen, University ofTexas Louis Pau, Ericsson, Alsjo, Sweden Edison Tse, Stanford University Andy Whinston, University ofTexas
Bio-Mimetic Approaches •
In
Management Scienc e edited by
Jacques-Marie Aurifeille University of Poitiers and
Christophe Deissenberg University ofNantes
SPRINGER-SCIENCE+BUSINESS MEDIA, B.V.
A C.I.P. Catalogue record for this book is available from the Library of Congress.
ISBN 978-1-4419-4791-8 ISBN 978-1-4757-2821-7 (eBook) DOI 10.1007/978-1-4757-2821-7
Printed on acid-free paper
All Rildtts Reserved
© 1998 Springer Science+Business Media Dordrecht Originally published by Kluwer Academic Publishers in 1998 Softcover reprint of the bardeover Ist edition 1998 No part of the material protected by this copyright notice may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without written permission from the copyright owner
TADLE OF CONTENTS
Foreword...................................................................................... 1. The Potential of Neural Networks Evaluated within a Taxonomy of Marketing Applications Stefania Pandelidaki, Andrew N.Burgess ..............................................
vii 1
2. Complexity Control and Generalization in Multilayer Perceptrons Patrick Gallinari and Tautvydas Cibas .. ... ......... .. ... ..... .. .... ... .... ... .... ... .. 13 3. Application of Neural Networks to Bond Rating and House Pricing Rennie Daniels, Bart Kamp and William Verkooijen .............................. 27 4. Connexionist Approach and Corporate Distress Diagnosis: a Contribution to the Processing of lncomplete Information Jean-Fmn~ois Casta and Bernard Pmt ................................................... 47
5. Comparison ofthe Predictivity of a Neural Network with Backpropagation with those using Linear Regression, Logistic and A.LD. Methods for Direct Marketing Scoring Pierre Desmet .................................................................................. 61
6. Comparison of Discriminant Analysis and Neural Networlu Application for the Detection of Company Failures Mireille Bardos and Wenbua Zhu ....................................................... 7. Using Artificial Neural Nets to Specify and Estimate Aggregate Reference Price Models Martin Natter and Hamld Hruschka..................................................... 8. Towards Connectionist Merchandising: a Conceptual and Operational Definition Ph. Robert
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