Open AccessComparing activation functions in predicting dengue hemorrhagic fever cases in DKI Jakarta using recurrent neural networks
Author(s) -
Yuda Sukama,
Gatot Fatwanto Hertono,
B. D. Handari,
Dipo Aldila
Publication year - 2020
Publication title -
aip conference proceedings
Language(s) - Uncategorized
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/5.0030456
Subject(s) - sigmoid function , recurrent neural network , dengue hemorrhagic fever , dengue fever , computer science , activation function , artificial intelligence , artificial neural network , machine learning , pattern recognition (psychology) , dengue virus , virology , medicine
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom