Buscar
Mostrando ítems 31-40 de 129
Bio-inspired and gradient-based algorithms to train MLPs: The influence of diversity
(Elsevier Science IncNew YorkEUA, 2009)
Evaluation of the efficiency of artificial neural networks for genetic value prediction
(Funpec-editora, 2016-01-01)
Artificial neural networks have shown great potential when applied to breeding programs. In this study, we propose the use of artificial neural networks as a viable alternative to conventional prediction methods. We conduct ...
Neural networks in spatialization of meteorological elements and their application in the climatic agricultural zoning of bamboo
(Springer, 2018-11-01)
Bamboo has an important role in international commerce due to its diverse uses, but few studies have been conducted to evaluate its climatic adaptability. Thus, the objective of this study was to construct an agricultural ...
Redes neurais e suas aplicações em calibração multivariadaNeural networks and its applications in multivariate calibration
(Sociedade Brasileira de Química, 2001)
Hierarchical multi-label classification using local neural networks
(ElsevierAcademic PressSan Diego, 2014-02)
Hierarchical multi-label classification is a complex classification task where the classes involved in the problem are hierarchically structured and each example may simultaneously belong to more than one class in each ...
Tool condition monitoring of aluminum oxide grinding wheel in dressing operation using acoustic emission and neural networks
(Springer, 2015-03-01)
The grinding operation gives workpieces their final finish, minimizing surface roughness through the interaction between the abrasive grains of a tool (grinding wheel) and the workpiece. However, excessive grinding wheel ...
Condition-based monitoring system for rolling element bearing using a generic multi-layer perceptron
(Sage Publications Ltd, 2015-12-01)
Rolling element bearings are critical mechanical components in rotating machinery and fault detection in the early stages of damage is important to prevent their malfunctioning and failure. Vibration monitoring is the most ...
Design of experiments and focused grid search for neural network parameter optimization
(2016-04-19)
The present work offers some contributions to the area of surface roughness modeling by Artificial Neural Networks (ANNs) in machining processes. It proposes a method for an optimized project of a Multi-Layer Perceptron ...