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The use of artificial neural networks in analysing the nutritional ecology of Chrysomya megacephala (F.) (Diptera: Calliphoridae), compared with a statistical model
(Wiley-Blackwell, 2010-01-01)
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 ...
The use of artificial neural networks in analysing the nutritional ecology of Chrysomya megacephala (F.) (Diptera: Calliphoridae), compared with a statistical model
(Wiley-Blackwell, 2010-01-01)
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 ...
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 ...
The effectiveness of artificial neural networks in modelling the nutritional ecology of a blowfly species
(2012-04-01)
The larval phase of most blowfly species is considered a critical developmental period in which intense limitation of feeding resources frequently occurs. Furthermore, such a period is characterised by complex ecological ...
Prediction of ternary ion-exchange equilibrium using artificial neural networks and Law of Mass Action
(Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacaoMaringaBrasil, 2012)
Artificial Neural Network, Quantile and Semi-Log Regression Modelling of Mass Appraisal in Housing
We used a large sample of 188,652 properties, which represented 4.88% of the total housing
stock in Catalonia from 1994 to 2013, to make a comparison between different real estate valuation
methods based on artificial ...
Polyurethanes synthetized with polyols of distinct molar masses: Use of the artificial neural network for prediction of degree of polymerization
(Wiley-Blackwell, 2021-04-27)
The molar mass of the polyurethanes (PUs)' reagents directly influences their thermal response, affecting both the polymerization process and the enthalpy and the degree of reaction. This study reports applying an artificial ...
Enhancement of multianalyte mass spectrometry detection through response surface optimization by least squares and artificial neural network modelling
(Elsevier Science, 2019-10)
In this work, the use of design of experiments and posterior data modelling by artificial neural network (ANN) and least squares (LS) is presented as a suitable analytical tool for the performance optimization of a tandem ...
The effect of data standardization in cluster analysis
(Associa????o Brasileira de Energia Nuclear, 2019)