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- W2046503772 abstract "This paper examines the forecasting performance of multi-layer feed forward neural networks in modeling a particular foreign exchange rates, i.e. Japanese Yen/US Dollar. The effects of two learning methods, Back Propagation and Genetic Algorithm, in which the neural network topology and other parameters fixed, were investigated. The early results indicate that the application of this hybrid system seems to be well suited for the forecasting of foreign exchange rates. The Neural Networks and Genetic Algorithm were programmed using MATLAB®." @default.
- W2046503772 created "2016-06-24" @default.
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- W2046503772 date "2004-11-11" @default.
- W2046503772 modified "2023-09-23" @default.
- W2046503772 title "<title>Genetic algorithm for neural networks optimization</title>" @default.
- W2046503772 doi "https://doi.org/10.1117/12.578064" @default.
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