Sentence examples for models and regression from inspiring English sources

Also, I tried to do my best to the risk-level models, and regression analysis, and God knows what.

Artificial neural networks (ANNs) can be used to predict energy consumption more reliably than traditional simulation models and regression techniques.

Moreover, to highlight robustness and precision of the addressed approaches, two different regression models have been developed and results obtained from the aforementioned intelligent models and regression approaches are compared with the corresponding refractive index data measured in laboratory.

To show the quantitative benefits of the ANFIS-CS, 12 different structures of a well-known class of adaptive neural networks (ANNs), namely Multi-Layer Perceptron (MLP) as well as 10 different types of regression models are developed and the MAPE values of ANN-MLP models and regression models are compared with the MAPE of proposed model.

Her main areas of research are non-parametric regression, smooth mixed models and regression models for spatio-temporal data.

Time series models and regression analysis only deal with data set itself, and the warning model deals with exogenous variables.

There is a dire need for better data analytics best practices, with 19% using only basic data models and regressions.

We applied five modeling approaches (Strategies 0 4) which reflected: no model (0); algebraically specified (1, 2) vs. unspecified (3, 4) models; and regression- 1, 3) vs. classification-based (2, 4) models.

Regression analysis (such as linear regression models, negative binomial regression models and Poisson regression models) has been the most popular technique in crash analysis because the connection between accidents and factors affecting them can be evidently identified.

Aulchenko, Y.S., de Koning, D.J. & Haley, C. Genomewide rapid association using mixed model and regression: a fast and simple method for genomewide pedigree-based quantitative trait loci association analysis.

The results indicate that the classification model and regression model can, respectively, accurately identify and predict the VIV response for various modes of the investigated bridge.