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Analysis of artificial neural networks for pattern-based adaptive controlIEEE TRANSACTIONS ON NEURAL NETWORKSIEEE TRANS NEURAL NETW
(INSTITUTION OF ELECTRICAL ENGINEERS, 2017)
CLIMATE PRECIPITATION PREDICTION FOR SOUTH REGION BY NEURAL NETWORK SELF-CONFIGUREDPrevisão Climática de precipitação para a Região Sul por Rede Neural Autoconfigurada
(Universidade Federal de Santa Maria, 2016)
Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems
(01/26/2012)
Nowadays, indoor Real-Time Locating Systems represent one of the most exciting applications based on Wireless Sensor Networks using wireless technologies such as Wi-Fi or ZigBee. Indoor Real-Time Locating Systems based on ...
How do forage availability and climate control sheep reproductive performance?. An analysis based on artificial neural networks and remotely sensed data
(Elsevier Science, 2008-09)
Environmental variability affects life history and fitness of both animal and plant species. For herbivores in particular, climate can have strong direct and indirect effects on demography, which tend to exacerbate in arid ...
Novel chemometric strategy based on the application of artificial neural networks to crossed mixture design for the improvement of recombinant protein production in continuous culture
(Elsevier Science, 2009-09)
The optimal blends of six compounds that should be present in culture media used in recombinant protein production were determined by means of artificial neural networks (ANN) coupled with crossed mixture experimental ...
Phase oscillator neural network as artificial central pattern generator for robots
(Elsevier Science, 2012)
Pattern recognition from a sensor array using neural networksReconocimiento de patrones en un arreglo sensórico usando redes neuronales
(Universidad Militar Nueva Granada, 2007)
Artificial neural networks to evaluate the boron concentration decreasing profile in Blood-BPA samples of BNCT patients
(Pergamon-Elsevier Science Ltd, 2011-12)
For the prediction of decay concentration profiles of the p-boronophenylalanine (BPA) in blood during BNCT treatment, a method is suggested based on Kohonen neural networks. The results of a model trained with the concentration ...
Using a nitrogen mineralization index will improve soil productivity rating by artificial neural networks
(Taylor & Francis, 2020-03)
In the Pampas, nitrogen fertilization rates are low and soil organic matter impacts crop yield. Wheat (Triticum aestivum L.) yield was related to total soil nitrogen (total N) and to nitrogen mineralization potential ...
Prediction of lateral variations in reservoir properties throughout an interpreted seismic horizon using an artificial neural network
(Society of Exploration Geophysicists, 2016-03)
Successful use of an artificial neural network is shown to predict lateral variations of seismic velocity, density, thickness, and gamma rays associated with sand dune reservoirs identified on a previously interpreted ...