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Prediction of Dispersion Relation and PBGs in 2-D PCs by Using Artificial Neural Networks
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2012)
Reference evapotranspiration forecasting by artificial neural networks
(2017-01-01)
Evapotranspiration (ET) is the main component of water balance in agricultural systems and the most active variable of the hydrological cycle. In the literature, few studies have used the forecast the day before via ...
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 ...
Computation with phase oscillators: An oscillatory perceptron model
(Elsevier, 2013-03-26)
We present a perceptron model with processing units consisting of coupled phase oscillators. The processing units are able to compute the input signals through a high order synapse mechanism. We show how a network of these ...
A neural networks study of quinone compounds with trypanocidal activity
(SPRINGER, 2008)
This work investigates neural network models for predicting the trypanocidal activity of 28 quinone compounds. Artificial neural networks (ANN), such as multilayer perceptrons (MLP) and Kohonen models, were employed with ...
A Multilayer Perceptron Controller Applied to the Direct Power Control of a Doubly Fed Induction Generator
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2014)
A neural network-based spectral approach for the assignment of individual trees to genetically differentiated subpopulations
(MDPI, 2022)
Studying population structure has made an essential contribution to understanding evolutionary processes and demographic history in forest ecology research. This inference process basically involves the identification of ...