non-linear model
[/nɑːn ˈlɪniər ˈmɑːdəl/]
nounpl: non-linear models
modelo não-linear
1. A mathematical or statistical model in which the relationship between variables is not proportional or cannot be represented by a straight line; the output is not a linear function of the inputs
The researchers used a non-linear model to better capture the complex relationship between temperature and reaction rate.
Os pesquisadores usaram um modelo não-linear para capturar melhor a relação complexa entre temperatura e taxa de reação.
2. In machine learning and data science, a model that uses non-linear transformations or functions to map input features to output predictions
Neural networks are powerful non-linear models that can learn intricate patterns in data.
Redes neurais são modelos não-lineares poderosos que podem aprender padrões intricados nos dados.
3. A predictive or descriptive model where the change in the dependent variable is not constant with respect to changes in independent variables
A polynomial regression is an example of a non-linear model used in curve fitting.
Uma regressão polinomial é um exemplo de modelo não-linear usado no ajuste de curvas.
This is a technical term used primarily in academic, scientific, and data science contexts in both Brazilian Portuguese and American English. It has become increasingly important with the rise of machine learning and artificial intelligence. The term is standardized across Portuguese-speaking countries and is used without significant regional variation. In both cultures, understanding non-linear models is considered essential for advanced statistical analysis and data science work.
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