Machine Learning
Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
Multi-resolution subspace for financial trading
Pattern Recognition Letters
Intelligent stock trading system by turning point confirming and probabilistic reasoning
Expert Systems with Applications: An International Journal
Predicting Stock Prices Using a Hybrid Kohonen Self Organizing Map (SOM)
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
A Stock Pattern Recognition Algorithm Based on Neural Networks
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02
Mining Stock Market Tendency by RS-Based Support Vector Machines
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
The Construction of Stock_s Portfolios by Using Particle Swarm Optimization
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
SBRN '08 Proceedings of the 2008 10th Brazilian Symposium on Neural Networks
Trading With a Stock Chart Heuristic
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Neural Networks
Support vector machine with adaptive parameters in financial time series forecasting
IEEE Transactions on Neural Networks
A Hybrid Neurogenetic Approach for Stock Forecasting
IEEE Transactions on Neural Networks
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Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...