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A neural network family is commonly used for improving financial forecasting accuracy. This paper proposes a feedback functional link artificial neural network (FFLANN) for the prediction of net asset value (NAV) of Indian Mutual funds which incorporates fewer computational load and fast forecasting capability. It is clear from the root mean square error (RMSE) and mean absolute percentage error (MAPE)...
In this paper, we propose a robust and novel ensemble model for Net asset value prediction of Mutual fund. The proposed model is constituted of two non-linear models: Radial basis function (RBF) and Functional link artificial neural network (FLANN). In order to improve the prediction performance of the hybrid model a boosting technique is used. The sum of the weighted outputs of the two models is...
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