Comparative analysis of XGBoost, MLP and LSTM techniques for the problem of predicting fire brigade Iiterventions /

Comparative analysis of XGBoost, MLP and LSTM techniques for the problem of predicting fire brigade Iiterventions /

Orientador: Anna Diva Plasencia Lotufo === Abstract: Many environmental, economic and societal factors are leading fire brigades to be increasingly solicited, and, as a result, they face an ever-increasing number of interventions, most of the time on constant resource. On the other hand, these inter...

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Bibliographic Details
Main Author: Cerna Ñahuis, Selene Leya
Other Authors: Universidade Estadual Paulista "Júlio de Mesquita Filho" Faculdade de Engenharia (Campus de Ilha Solteira).
Format: Others
Language:Portuguese
Published: Ilha Solteira, 2019
Subjects:
Firefighters
Previsão.
XGBoost
Long short-term memory
Multi-layer perceptron
Mutual information regression
Principal component analysis
Bombeiros.
Online Access:http://hdl.handle.net/11449/190740

Internet

http://hdl.handle.net/11449/190740

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