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- W2110385333 abstract "A trigonometric polynomial high order neural network financial simulation (THONN) system is presented. The system was written in C, incorporates a user-friendly graphical user interface (GUI), and runs under X-Windows on a Sun workstation. The experimental results show that the THONN group model is able to handle higher frequency, higher order non-linear and discontinuous data. Using the THONN model, the accuracy is about 5%-10% better than conventional trigonometric polynomial neural network models." @default.
- W2110385333 created "2016-06-24" @default.
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- W2110385333 date "2002-11-22" @default.
- W2110385333 modified "2023-09-22" @default.
- W2110385333 title "Financial simulation system using a higher order trigonometric polynomial neural network group model" @default.
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- W2110385333 doi "https://doi.org/10.1109/cifer.1997.618934" @default.
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