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PRONOSTICANDO EL ÍNDICE ENSO VARIOS PASOS EN ADELANTE MEDIANTE TÉCNICAS DE MODELAMIENTO NO LINEAL
(Universidad de Tarapacá., 2010)
Biometric iris recognition using radial basis function neural network
The consistent and efficient method for the identification of biometrics is the iris recognition in view of the fact that it has richness in texture information. A good number of features performed in the past are built ...
Forecasting photovoltaic power using bagging feed-forward neural network
(Transstellar Journal Publications and Research Consultancy Private LimitedIN, 2020-09-17)
ABSTRACT
This paper presents a forecast model of the active power of a photovoltaic (PV) power generation system. In this model,
a feed-forward neural network (FNN) is combined with bootstrap aggregation techniques using ...
Implementação de um classificador de imagens baseado em redes neurais em sistemas embarcados
(2017-01-11)
Durante décadas, classificadores baseados em rede neural feedforward (FNN, do inglês, feedforward neural network) têm sido amplamente utilizados em muitos problemas de classificação, como imagem [1] e reconhecimento de ...
Machine learning and optimization-based modeling for asset management: a case studyModelado basado en optimización y aprendizaje automático para la gestión de activos: un estudio de caso
(International Journal of Productivity and Performance Management, 2020-11-23)
Purpose – This research is inspired by a real case study from a pump rental business company across the US.
The company was looking to increase the utilization of its rental assets while, at the same time, keeping the ...
Envolvimiento familiar y desempeño escolar en estudiantes de familias no nucleares
(2016-05-26)
Esta investigación identificó cómo el Envolvimiento Familiar influencia las características de las relaciones sociales y los desempeños académicos y convivenciales de los estudiantes que pertenecen a Familias No Nucleares ...
Smart Algorithms to Control a Variable Speed Wind Turbine
In this paper, a robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive shaft. Fuzzy ...