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.de GN Silva · 2017 · Citado por 6 — Abstract – The objective of this work was to evaluate the use of artificial neural networks in comparison with. Bayesian generalized linear regression to
Deep learning with COTS HPC systems – Int. Conf Machine Learning (ICML) 2013 GEOINT 2015 – nvidia.com/content/events/geoInt2015/LBrown_DL.pdf
4 de jul. de 2022 — PDF | When implementing Artificial Neural Networks with imperative programing languages, the resulting programs are usually highly coupled.
Artificial neural networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering.de OC Xavier · 2022 — Keywords: tax evasion; neural networks; artificial intelligence; open data; tax auditing. Identificação de evasão fiscal utilizando dados abertos e
Artificial neural networks (ANN) aim to solve problems of artificial intelligence, by building a system with links that simulate the human brain. This approachUsing Deep Learning for Trajectory Classification. Topics: Data Mining; Deep Learning; Machine Learning; Neural Networks; Social Network Analysis.Miniatura, Título, Data de carga, Acesso, Ações. 5h73pw05j?file=thumbnail · 162_etd.pdf, 2018-10-09, Público. Press to Selecione uma ação.
Using Deep Learning for Trajectory Classification. Topics: Data Mining; Deep Learning; Machine Learning; Neural Networks; Social Network Analysis.Miniatura, Título, Data de carga, Acesso, Ações. 5h73pw05j?file=thumbnail · 162_etd.pdf, 2018-10-09, Público. Press to Selecione uma ação.
5 de jul. de 2022 — PDF | Artificial neural networks simulating oat grain yield throughout the crop cycle, can represent an innovative proposal regarding
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