non-adaptive model
[nɑːn ə'dæptɪv 'mɑːdəl]
nounpl: non-adaptive models
modelo não-adaptativo
1. A theoretical or computational model that does not change its parameters, structure, or behavior in response to new information or environmental conditions
The non-adaptive model failed to improve its predictions as new data became available.
O modelo não-adaptativo falhou em melhorar suas previsões conforme novos dados ficavam disponíveis.
2. In biology and psychology, a model that does not account for evolutionary or developmental responses to environmental pressures
The researcher criticized the non-adaptive model for ignoring natural selection mechanisms.
O pesquisador criticou o modelo não-adaptativo por ignorar mecanismos de seleção natural.
3. In machine learning and statistics, a fixed-parameter system that maintains constant rules regardless of changing data distributions
Unlike adaptive algorithms, the non-adaptive model uses the same coefficients throughout the analysis.
Diferentemente dos algoritmos adaptativos, o modelo não-adaptativo usa os mesmos coeficientes durante toda a análise.
This is primarily a technical and academic term used in scientific research, statistics, and computer science communities in both Brazil and the USA. It reflects the modern emphasis on adaptive and machine-learning approaches, making non-adaptive models increasingly viewed as outdated or limited in contemporary research contexts.
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