Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Cidiney J. Silva"'
Autor:
Muhammad Hisyam Lee, Cidiney J. Silva, Hossein Javedani Sadaei, Tayyebeh Eslami, Frederico Gadelha Guimares
Publikováno v:
International Journal of Approximate Reasoning. 83:196-217
Seasonal Auto Regressive Fractionally Integrated Moving Average (SARFIMA) is a well-known model for forecasting of seasonal time series that follow a long memory process. However, to better boost the accuracy of forecasts inside such data for nonline
Publikováno v:
Anais do 9. Congresso Brasileiro de Redes Neurais.
Publikováno v:
Anais do 10. Congresso Brasileiro de Inteligência Computacional.
Evolução Diferencial Discreta Aplicada A Reconfiguração De Redes De Distribuição De Energia Elétrica
Autor:
Oriane M. Neto, Cidiney J. Silva
Publikováno v:
Anais do 10. Congresso Brasileiro de Inteligência Computacional.
Publikováno v:
2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence.
Power Distribution Network Reconfiguration demands the change of current state of the network in order to reach optimal operation according to some previouly defined figures of merit. This paper presents a new methodology based on Multi-Agent Systems
Publikováno v:
IEEE Congress on Evolutionary Computation
Controller design is performed to meet some performance criteria. Some of them are the gain and phase margins, control effort, settling time, overshoot, amongst other indexes. Obtaining a controller or compensator that fits all these criteria (or som
Autor:
Elizabeth F. Wanner, Jesus Jonatan Souza Santos, Eduardo G. Carrano, Cidiney J. Silva, Ricardo H. C. Takahashi
Publikováno v:
IEEE Congress on Evolutionary Computation
Support Vector Machines (SVMs) are considered state-of-the-art learning machines techniques for classification problems. This paper studies the training of SVMs in the special case of problems in which the raw data to be used for training purposes is