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The Neuro Fuzzy Delay Estimation (NFDE) model and Artificial Neural Networks Delay Estimation (ANNDE) model are developed.
To improve daily flow prediction in unmonitored watersheds a hybrid model was developed by combining a quasi‐distributed watershed model and artificial neural network (ANN).
Statistical analysis (STEPWISE regression model) and artificial neural network (support vector machine model, SVM) methods were designed to classify protein degradation.
The degree of oil saturation has been estimated from velocity measurements of unconsolidated sediments at a laboratory scale using a petrophysical model and artificial neural network (ANN) as an inversion tool.
The prediction of individual concentration is achieved by decomposition of entire voltammogram using radial basis function approach followed by fitting the curves using linear model and artificial neural net.
In this study, an improved system dynamic model was established by combining analytical system model and artificial neural networks (ANN) as well as the dynamic calculation functions of internal parameters of TEM.
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Dehaene's own interests tended toward computer modelling and artificial intelligence.
In the 1990s, sprites gave way to 3D modelling, and development teams mushroomed in size, hoovering up specialists in disciplines across animation, level design, character modelling and artificial intelligence.
Extraction kinetics modelling and artificial neural network (ANN) simulation were used for that purpose.
This methodology has application in several areas including dynamic models and artificial vision systems.
Time-series models are also popular in short-term price forecasting, which includes parsimonious stochastic models, regression or causal models and artificial intelligence (AI) models [8].
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