Year: 2019
Type: dissertation
Abstract: Neural networks are a tool to solve prediction problems that have gained much prominence recently.In general, neural networks are used as a predictive method, that is, their are used to estimate a regression function.Instead, this work presents the use of neural networks as an optimization tool to combine existing regression estimators in order to obtain more accurate predictions and to fit local linear models more efficiently.Several tests were conducted to show the greater efficiency of these methods when compared to the usual ones.
Author: Victor Azevedo Coscrato
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G29316538
OpenAlex ID: W2974142752