Results 201 to 210 of about 2,089,547 (271)

Artificial Neural Network Modeling of Mechanical Properties of 3D-Printed Polyamide 12 and Its Fiber-Reinforced Composites. [PDF]

Polymers (Basel)
Fetecau C, Stan F, Boazu D.
europepmc   +1 more source

Bioactivity of Juglans regia kernel extracts optimized using response surface method and artificial neural Network-Genetic algorithm integration. [PDF]

Sci Rep
Gürgen A.
europepmc   +1 more source

Cardiac arrhythmia detection using artificial neural network. [PDF]

Heliyon
R G S, Anand K K, B S, Kumar A V.
europepmc   +1 more source

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City. [PDF]

Sci Rep
Guo Q, He Z, Wang Z.
europepmc   +1 more source

Behavior modeling for a new flexure-based mechanism by Hunger Game Search and physics-guided artificial neural network. [PDF]

Sci Rep
Le HG, Dao TP, Dang MP, Nguyen-Trang T.
europepmc   +1 more source

Simulation of nonlinear strutures with artificial neural networks

, 1996
T.L. Paez
openalex   +1 more source

Artificial neural networks [PDF]

Surgery, 2000
The present disclosure relates to a neuron for an artificial neural network. The neuron includes: a first dot product engine operative to: receive a first set of weights; receive a set of inputs; and calculate the dot product of the set of inputs and the first set of weights to generate a first dot product engine output.
Philip J. Drew, John R. T. Monson
  +7 more sources

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Artificial neural networks

The Lancet, 1997
Interest in artificial neural networks (ANN) has grown rapidly over the past few years. This followed a long period of low activity in the field, since Minsky and Papert [142] published their book Perceptrons with proofs showing the limitations of the one layer networks.
Marc Buyse, Pascal Piedbois
  +8 more sources

A Review of Activation Function for Artificial Neural Network

International Symposium on Applied Machine Intelligence and Informatics, 2020
The activation function plays an important role in the training and the performance of an Artificial Neural Network. They provide the necessary non-linear properties to any Artificial Neural Network.
Andrinandrasana David Rasamoelina, Fouzia Adjailia, P. Sinčák   +2 more
semanticscholar   +1 more source