Bio-Mimetic Approaches in Management Science / Edition 1

Bio-Mimetic Approaches in Management Science / Edition 1

by Jacques-Marie Aurifeille
     
 

ISBN-10: 0792349938

ISBN-13: 9780792349938

Pub. Date: 04/30/1998

Publisher: Springer US

Bio-Mimetic Approaches in Management Science presents a selection of recent papers on biomimetic approaches and their application to Management Science. Most of these papers were presented at the last ACSEG/CAEMS International Congresses (Approaches Connexionnistes en Sciences Economiques et de Gestion/Connectionnist Approaches in Economics and Management Science).…  See more details below

Overview

Bio-Mimetic Approaches in Management Science presents a selection of recent papers on biomimetic approaches and their application to Management Science. Most of these papers were presented at the last ACSEG/CAEMS International Congresses (Approaches Connexionnistes en Sciences Economiques et de Gestion/Connectionnist Approaches in Economics and Management Science). All papers combine the discussion of conceptual issues with illustrative empirical applications, and contain detailed information on the way heuristics are practically implemented. The advantages and limits of the biomimetic approaches are discussed in several of the papers, either by comparing these approaches with more classical methods (logit models, clustering), or by investigating specific issues like overfitting and robustness. Synthesizing overviews are provided, as well as new tools for coping with some of the limitations of biomimetic methods.

Product Details

ISBN-13:
9780792349938
Publisher:
Springer US
Publication date:
04/30/1998
Series:
Advances in Computational Management Science Series, #1
Edition description:
1998
Pages:
208
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Foreword
1The Potential of Neural Networks Evaluated within a Taxonomy of Marketing Applications1
2Complexity Control and Generalization in Multilayer Perceptrons13
3Application of Neural Networks to Bond Rating and House Pricing27
4Connexionist Approach and Corporate Distress Diagnosis: a Contribution to the Processing of Incomplete Information47
5Comparison of the Predictivity of a Neural Network with Backpropagation with those using Linear Regression, Logistic and A.I.D. Methods for Direct Marketing Scoring61
6Comparison of Discriminant Analysis and Neural Networks Application for the Detection of Company Failures77
7Using Artificial Neural Nets to Specify and Estimate Aggregate Reference Price Models101
8Towards Connectionist Merchandising: a Conceptual and Operational Definition119
9A Statistical Methodology for Specifying Neural Network Models: Application to the Identification of Cross-selling Opportunities139
10Optimization by a Genetic Algorithm of Stochastic Linear Models of Time Series153
11A Bio-mimetic Clusterwise Regression Algorithm for Consumer Segmentation163
12Hybrid Genetic Learning of Hidden Markov Models For Time Series Prediction179
13Learning How to Regulate a Polluter with Unknown Characteristics: An Application of Genetic Algorithms to a Game of Dynamic Pollution Control197

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