Neural Networks Approach to the Random Walk Dilemma of Financial Time Series
Applied Intelligence
Accelerated Genetic Programming of Polynomials
Genetic Programming and Evolvable Machines
Evolving Market Index Trading Rules Using Grammatical Evolution
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
varepsilon-Descending Support Vector Machines for Financial Time Series Forecasting
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
An Adaptive Agent Based Economic Model
Learning Classifier Systems, From Foundations to Applications
An Agent-Based Soft Computing Society
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Piecewise nonlinear goal-directed CPPI strategy
Expert Systems with Applications: An International Journal
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Applied Intelligence
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Evolutionary Optimization of Trading Strategies
Proceedings of the 2008 conference on Applications of Data Mining in E-Business and Finance
A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Knowledge discovery approach based on closeness relationship of FC
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Agent-based evolutionary optimisation of trading strategies
International Journal of Intelligent Information and Database Systems
Modelling of web domain visits by IF-inference system
WSEAS Transactions on Computers
Forex trend classification using machine learning techniques
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
Improving financial data quality using ontologies
Decision Support Systems
Dilemmas in knowledge-based evolutionary computation for financial investing
Intelligent Decision Technologies
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From the Publisher:Only a decade ago, spreadsheets were first invented for financial applications. At the time they were considered sophisticated modeling tools. Today machine intelligence is a core concept in describing advanced technologies that can develop more sophisticated models. Neural networks, genetic algorithms, and fuzzy systems provide new opportunities for automated trading, risk, and portfolio management. Machine learning techniques are quietly being used by investment managers for stock selection, bond pricing, foreign exchange trading, and market and bankruptcy predictions, as well as many other applications. They are the next step in the evolution of investment technology. Now, Trading on the Edge lets you in on this evolution. Assembled and edited by Guido J. Deboeck, a pioneer in the introduction of new technologies and financial applications of neural nets at the World Bank, this book is the product of more than a dozen authors around the globe who, over the past several years, have used these advanced technologies for investment management. The contributions from these experts demystify the application of these techniques and explore their impact on modern finance theory and practice. Most importantly, they show you how to apply those powerful techniques to automate trading, reduce risk, and improve portfolio management. Clearly, concisely, and in terms that traders and investment managers can relate to, this book shows how neural networks can learn complex patterns from vast quantities of data and generalize with amazing speed from learned experiences; how genetic algorithms can evolve solutions to problems in the way nature does; how fuzzy systems provide concrete solutions to problems based on vague parameters; and how nonlinear dynamics, fractal analysis, and chaos theory define order in what once were considered random changes in financial markets. The real-life case studies provided by these experts delineate proven strategies for applying advanced tech