Adaptive Intelligent Systems : Proceedings of the BANKAI Workshop, Brussels, Belgium, 12-14 October 1992

Dedicated to the consideration of advanced IT technologies and their financial applications, this volume contains contributions from an international group of system developers and managers from academia, financial industry and their suppliers - all actively involved in the development and practical introduction to these technologies into banking and financial organizations. Concentrating on real experience and present needs rather than theoretical possibilities or limited prototype applications, it is hoped the publication will give a better insight into advanced IT practice and potential as it currently exists and motivate today's developers and researchers. In addition to the discussion of a wide range of technologies and approaches to ensure adaptivity, three other major topics are exlored in the book - neural networks, classical software engineering techniques and rule-based systems Content: Front Matter, Page iii Copyright, Page iv PREFACE, Page v Artificial Neural Networks and ARIMA-Models within the Field of Stock Market Prediction - A Comparison, Pages 1-18, Thomas Lohrbach, Matthias Schumann A Decision Support System Building Tool with Fuzzy Logic and Its Application to Chart Technical Analysis, Pages 19-32, Chizuko Yasunobu, Michitaka Kosaka, Katsuya Yokomura, Kazuo Honda Introduction to That Neural Networks are an Applicable Technology Today, Pages 33-42, Laura Thomae Man-Machine Synergy in Action, Pages 43-58, Michel Pilote, Madeleine Fillion KNOWLEDGE STRUCTURING AND FORMALIZATION IN A DISTRIBUTED ENVIRONMENT: An application to the firms results rating, Pages 59-73, A. BUSAC, M.-C. JEAN An Adaptable Reporting Architecture, Pages 75-85, Raf Venken FIRCO: The Intelligent Transformation of D Fields Into A Fields, Pages 87-97, C. Tapia-Stocker, A. Bénicourt, J. Losco Introduction to That Classical Software Engineering Methods Are Suitable for Developing Adaptive Systems, Pages 99-109, Deb Mukherjee The Schematic Programming Tool: An Application of A.I. to Software Engineering, Pages 111-119, J.M. Forêt, R. Phelps, F. Ristori, W. Aerts Neural Network Futures Trading - A Feasibility Study, Pages 121-132, Lisa Simone Duke, J Allen Long An Application of the AQ Machine Learning Methodology on the Stock Market, Pages 133-147, Ypke Hiemstra Prediction of Stock Market Index Changes, Pages 149-160, Şzzet ILirin, H. Altay Güvenir Credit risk and lending in an artificial adaptive banking system, Pages 161-176, S. Margarita, A. Beltratti Consumer Loan Analysis Using Neural Networks, Pages 177-192, Jürgen Seitz, Eberhard Stickel Improving The Neural Network Testing Process, Pages 193-205, Emmanuel Ferret DeTerminator: a Decision Support System and Tool-Kit using the ProFuSE method, Pages 207-228, Ronald C.F. Antony, Axel G. Merk Introduction to That Rule-Based Systems are an Evolutionary Dead End in the Development of Intelligent Systems, Pages 229-237, Vee Khong AN EXPERT SYSTEM FOR PERSONAL FINANCIAL ASSET MANAGEMENT USING ANALOGICAL, QUALITATIVE AND CAUSAL REASONING, Pages 239-250, F.-Y. VILLEMIN, CNAM-CEDRIC Dedicated to the consideration of advanced I.T. technologies and their financial applications, this volume contains contributions from an international group of system developers and managers from academia, the financial industry and their suppliers: all actively involved in the development and practical introduction of these technologies into banking and financial organisations. Concentrating on real experience and present needs, rather than theoretical possibilities or limited prototype applications, it is hoped the publication will give a better insight into advanced I.T. practice and potential as it currently exists and motivate today's developers and researchers. In addition to the discussion of a wide range of technologies and approaches to ensure adaptivity, three other major topics are explored in the book: neural networks, classical software engineering techniques and rule-based systems Considers advanced IT technologies and their financial applications, and aims to concentrate on real experience and present needs rather than theoretical possibilities or limited prototype applications. The text is intended to give a better insight into advanced IT practice and potential.