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Artificial Neural Network (ANN) a data driven technique is utilised for modelling runoff.
The proposed algorithm differs from previously reported methods in that it is based upon a simple and intuitive data driven technique that does not make any presumptions about deterministic characteristics of the data.
This is a data driven technique that reduces the dimension of the data and groups correlated variables, in this case the food intake variables, to form new linear factors or components.
The proposed algorithm differs from the existing techniques in that it is based upon a simple and intuitive data driven technique that does not make any presumptions about deterministic characteristics of the data.
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This study presents a methodology to forecast diurnal cooling load energy consumption for institutional buildings using data driven techniques.
In the present study, hourly sea levels for Darwin Harbor, Australia were predicted using two different, data driven techniques, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN).
The present paper aimed at modeling LAI in cropland and grassland sites using the available meteorological data through two heuristic data driven techniques, namely, gene expression programming (GEP) and random forest (RF).
Since existing equations are incapable of estimating the discharge coefficient of stepped spillway accurately, other approaches such as data driven techniques can be employed as an alternative which are useful in modeling processes when the physical knowledge is limited.
This study aims to analyze LEED credit achievements in previous projects using data driven techniques and provide LEED managers with a better understanding on the achievements of individual credits and related credits.
Some of this will involve experimental methods and text mining and statistical analysis and specifically data driven techniques: from brain experiments to confirm epistemological hypotheses to using text mining to finally prove that Bacon or Oxford or Rutland or whomever really wrote the works of Shakespeare.
The resulting approach will have advantage of both physically based and data driven techniques.
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