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- W80444370 abstract "AbstractThis chapter describes the multi-layered perceptron (MLP), radial basis functions (RBF), and support vector machines (SVM). These techniques are then applied to model inflation by training these networks using the maximum-likelihood method. The results indicated that the SVM gives the best results followed by the MLP and then the RBF. The SVM with an exponential RBF gave the best results.KeywordsSupport Vector MachineRadial Basis FunctionSupport Vector RegressionHide UnitGeneralize Regression Neural NetworkThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W80444370 created "2016-06-24" @default.
- W80444370 creator A5066130528 @default.
- W80444370 date "2013-01-01" @default.
- W80444370 modified "2023-10-14" @default.
- W80444370 title "Neural Approaches to Economic Modeling" @default.
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- W80444370 doi "https://doi.org/10.1007/978-1-4471-5010-7_4" @default.
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