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of 5
pro vyhledávání: '"Murilo V. F. Menezes"'
Publikováno v:
Pattern Recognition Letters. 128:1-7
Kernels are often used for modelling non-linear data, developing a main role in models like the SVM. The optimization of its parameters to better fit each dataset is a frequently faced challenge: A bad choice of kernel parameters often implies a poor
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783030302436
EPIA (2)
EPIA (2)
Neural networks with radial basis activation functions are typically trained in two different phases: the first consists in the construction of the hidden layer, while the second consists in finding the output layer weights. Constructing the hidden l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8b62ad6b8825fa878bc49c009a2cbaa
https://doi.org/10.1007/978-3-030-30244-3_24
https://doi.org/10.1007/978-3-030-30244-3_24
Autor:
Antônio de Pádua Braga, Lourenço Ribeiro, André Barbosa, Vinicius Pimentel Silva, Carlos Natalino, Frederico Coelho, Murilo V. F. Menezes, Paolo Monti
Publikováno v:
World Review of Science, Technology and Sustainable Development. 16:4
This work aims at applying computational intelligence approaches to telecommunication data, in order to associate mobile data to energy consumption load curves. Clustering methods are applied in order to allow the telecommunication network to infer a
Publikováno v:
Proceeding XIII Brazilian Congress on Computational Inteligence.
Autor:
T. R. Pacioni, Murilo V. F. Menezes, V. F. Da Silva, Humberto Jorge José, Luciane Batistella, Christine A. Althoff
Publikováno v:
Anais do XX Congresso Brasileiro de Engenharia Química.