The cascade-correlation learning architecture
Advances in neural information processing systems 2
Advances in neural information processing systems 2
Stock Selection Using Rule Induction
IEEE Expert: Intelligent Systems and Their Applications
Second Order Derivatives for Network Pruning: Optimal Brain Surgeon
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Computational learning techniques for intraday FX trading using popular technical indicators
IEEE Transactions on Neural Networks
Pareto evolutionary neural networks
IEEE Transactions on Neural Networks
Neuro-genetic system for stock index prediction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary neural networks for practical applications
Memetic input variable selection in neuro-genetic prediction system
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
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This paper presents a method for a short-term stock index prediction. The source data comes from the German Stock Exchange (being the target market) and two other markets (Tokyo Stock Exchange and New York Stock Exchange) together with EUR/USD and USD/JPY exchange rates. Neural networks supported by a genetic algorithm (GA) are used as the prediction engine. Except for promising numerical results attained by the system the special focus in the paper is on the problem of elimination of dead chromosomes, i.e. the ones which cannot be properly assessed.