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Biological image classification using rough-fuzzy artificial neural network
(2015-12-30)
This paper presents a methodology to biological image classification through a Rough-Fuzzy Artificial Neural Network (RFANN). This approach is used in order to improve the learning process by Rough Sets Theory (RS) focusing ...
GIAO C-H COSY Simulations Merged with Artificial Neural Networks Pattern Recognition Analysis. Pushing the Structural Validation a Step Forward
(American Chemical Society, 2015-10)
The structural validation problem using quantum chemistry approaches (confirm or reject a candidate structure) has been tackled with artificial neural network (ANN) mediated multidimensional pattern recognition from ...
Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements
(2013-04-01)
Considering the importance of monitoring the water quality parameters, remote sensing is a practicable alternative to limnological variables detection, which interacts with electromagnetic radiation, called optically active ...
Artificial neural networks associated to calorimetric measurements used as a method to predict polymer composition of high solid content emulsion copolymerizations
(Wiley-v C H Verlag GmbhWeinheimAlemanha, 2005)
Artificial neural networks applied to bandsawing process control
(2014)
In the search for productivity increase, industry has invested on the development of intelligent, flexible and self-adjusting method, capable of controlling processes through the assistance of autonomous systems, independently ...
Artificial neural networks applied to potentiometric acid-base flow injection titrations
(Elsevier Science BvAmsterdamHolanda, 2002)
A neural network-based preset generation tool for a steel tandem cold mill
(Pergamon-Elsevier B.V. Ltd, 2010-03-01)
This paper traces the development of a software tool, based oil a combination of artificial neural networks (ANN) and a few process equations. aiming to serve as a backup operation instrument in the reference generation ...
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 ...
Artificial neural networks for load flow and external equivalents studies
(Elsevier Science SaLausanneSuíça, 2010)
The use of artificial neural networks in analysing the nutritional ecology of Chrysomya megacephala (F.) (Diptera: Calliphoridae), compared with a statistical model
(2010)
Artificial neural networks (ANNs) have been widely applied to the resolution of complex biological problems. An important feature of neural models is that their implementation is not precluded by the theoretical distribution ...