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René Corneille Deboeck (1913-1985), son of Guillaume Deboeck and Joanne Nobels, married Marie Louise Girardin (1918-2001), daughter of Jean Girardin and Josephina De Maseneer. Ancestors, descendants and relatives lived mainly in Belgium. Deboeck is also spelled de Boeck and de Bock. Includes De Zutter and related families.
Experts from the world's major financial institutions contributed to this work and have already used the newest technologies. Gives proven strategies for using neural networks, algorithms, fuzzy logic and nonlinear data analysis techniques to enhance profitability. The latest analytical breakthroughs, the impact on modern finance theory and practice, including the best ways for profitably applying them to any trading and portfolio management system, are all covered.
Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and extensions to existing classifier system models. The final part is dedicated to promising applications in areas like data mining, medical data analysis, economic trading agents, aircraft maneuvering, and autonomous robotics. An appendix comprising 467 entries provides a comprehensive LCS bibliography.
From the Foreword by John J. Murphy "DeMark's work as a consultant has been restricted to large institutions and many of the legendary traders in the world today. By sharing his creative ideas with us, as well as his passion for precision and improvement, Tom DeMark's emphasis on the 'new science' of technical analysis helps push the technical frontier another step forward. With the unprecedented attention now being paid to technical analysis, this new book couldn't have come at a better time." --John J. Murphy, bestselling author of Technical Analysis of the Futures Markets and Intermarket Technical Analysis, and technical analyst for CNBC "This book is filled with innovative, creative, and...
Edited by Guido Deboeck, a leading exponent in the use of computation intelligence methods in finance and economic forecasting, and the originator of SOM, Teuvo Kohonen. An 8-page color section makes this book unique, colorful and exciting to read. Each chapter contains exercises and solutions, perfectly suited to aid self-study.
The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in the early 80's. Currently this method has been included in a large number of commercial and public domain software packages. In this book, top experts on the SOM method take a look at the state of the art and the future of this computing paradigm.The 30 chapters of this book cover the current status of SOM theory, such as connections of SOM to clustering, classification, probabilistic models, and energy functions. Many applications of the SOM are given, with data mining and exploratory data analysis the central topic, applied to large databases of financial data, medical data, free-form text documents, digital images, speech, and process measurements. Biological models related to the SOM are also discussed.
Nahezu jede Woche veröffentlichen Experten neue Ratschläge, wie man am Aktienmarkt garantiert gewinnt - wann man welche Aktien, Wertpapiere und Optionen kaufen, halten oder verkaufen sollte. Mancher Tip funktioniert in der Praxis, die meisten versagen, und alle gelten nur für einen kurzen Zeitraum. Um langfristig Gewinne zu erzielen, gibt es nur einen Weg: Kapital- und Risikomanagement. Alles, was fortgeschrittene Investoren und Makler darüber wissen sollten, finden sie in diesem Buch. (04/99)
Ein Überblick über die aktuellsten Technologien zum Aufbau einer Handelsstrategie: neuronale Netzwerke, genetische Algorithmen, Expertensysteme, Fuzzy logic und statistische Mustererkennung. Gezeigt wird, wie diese neuen Methoden in klassische Analysenverfahren integriert werden können. Auch Erläuterungen zur Prüfung und Bewertung existierender Systeme kommen nicht zu kurz.