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- W2559787787 abstract "The paper compares the performance of three adaptive models based on Functional Link Artificial Neural Network (FLANN), Multi-Layered Perceptron (MLP) and Radial Basis Function (RBF) Networks employed for prediction of the net asset value (NAV) of a mutual fund scheme of a company through simulation study. The statistical features extracted from the past data are used to train the models. The prediction performance is evaluated using real life data. It is observed that the simple FLANN model predicts better for the NAV fifteen days ahead and higher. But for a short range prediction, the RBF model yields the best performance amongst the three models." @default.
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- W2559787787 date "2015-01-01" @default.
- W2559787787 modified "2023-09-22" @default.
- W2559787787 title "Development and Performance Evaluation of Three Novel Prediction Models for Mutual Fund NAV Prediction" @default.
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