Browsing by Subject "Modeling"
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Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes
(MDPI, 2023)Acceso abiertoEarly detection of diabetes is essential to prevent serious complications in patients. The purpose of this work is to detect and classify type 2 diabetes in patients using machine learning (ML) models, and to select the ... -
Derivation of Weibull Distributions From Spike-like Inputs in Artificial Neural Networks
(IEEE, 2025-02-26)Acceso restringidoThe idea that artificial neural network based at perceptron can be expressed as a family of Weibull functions is explored. Basically, it is assumed that “spike” inputs produce a kind of deformation on the resulting Sigmoid ...