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Types of artificial neural networks
There are many types of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks…
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Related topics
Related topics
50 relations
Activation function
Adaptive resonance theory
Adaptive system
Autoencoder
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Broader (1)
Computational neuroscience
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use?
D. Stamate
,
Wajdi Alghamdi
,
D. Ståhl
,
A. Zamyatin
,
R. Murray
,
M. Forti
Artificial Intelligence Applications and…
2018
Corpus ID: 46895125
This data-driven computational psychiatry research proposes a novel machine learning approach to developing predictive models for…
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2016
2016
Site overhead cost index prediction using RBF Neural Networks
M. Juszczyk
,
A. Leśniak
2016
Corpus ID: 63323133
Cost estimation is one of the key tasks in the process of construction project management. Total costs incurred during the…
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2016
2016
Comparison of Two Types of Artificial Neural Networks for Predicting Failure Frequency of Water Conduits
M. Kutyłowska
2016
Corpus ID: 53347338
This paper presents the results of a comparison between two artificial neural network structures, i.e. the multilayer perceptron…
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Review
2014
Review
2014
Factors Affecting Performance of Parametric and Non-parametric Models for Daily Traffic Forecasting
N. Ratrout
,
U. Gazder
ANT/SEIT
2014
Corpus ID: 38850725
2013
2013
Comparación de modelos para estimar la presión real de vapor de agua
Rocío Cervantes-Osornio
,
Ramón Arteaga-Ramírez
,
M. Vázquez-Peña
,
W. Ojeda-Bustamante
,
Abel Quevedo-Nolasco
2013
Corpus ID: 128391702
Resumen es: La presion real de vapor de agua es una variable basica para estimar la evapotranspiracion de los cultivos, uno de…
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2013
2013
Artificial neural networks for processing fluorescence spectroscopy data in skin cancer diagnostics
L. Lenhardt
,
I. Zeković
,
T. Dramićanin
,
M. Dramićanin
2013
Corpus ID: 18763682
Over the years various optical spectroscopic techniques have been widely used as diagnostic tools in the discrimination of many…
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2011
2011
Diabetes Mellitus Forecast Using Various Types of Artificial Neural Networks
Emrullah Acar
,
M. S. Ozerdem
,
V. Akpolat
2011
Corpus ID: 111109887
The diabetes mellitus forecasting system using perceptron, multilayer perceptron, Elman and ART1 Neural Networks is presented in…
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2009
2009
A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization
V. Asouti
,
I. Kampolis
,
K. Giannakoglou
Genetic Programming and Evolvable Machines
2009
Corpus ID: 26802772
A Grid-enabled asynchronous metamodel-assisted evolutionary algorithm is presented and assessed on a number of aerodynamic shape…
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2004
2004
Identification of typical wine aromas by means of an electronic nose
Jesús Lozano
,
José Pedro Santos
,
I. Sayago
,
Javier Gutiérrez
,
Carmen Horrillo
Proceedings of IEEE Sensors, .
2004
Corpus ID: 47574179
In the field of electronic noses it is not very usual to find many applications in wine detection. Most of them are related to…
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1995
1995
Comparison of an adaptive resonance theory based neural network ( ART-2a) against other classifiers for rapid sorting of post consumer plastics by remote near-infrared spectroscopic sensing using an…
D. Wienke
,
W. V. D. Broek
,
+7 authors
K. Cammann
1995
Corpus ID: 48370117
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