Neural Networks (Computer)
"Neural Networks (Computer)" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
Descriptor ID |
D016571
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MeSH Number(s) |
G17.485 L01.224.065.605 L01.725.500
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Concept/Terms |
Neural Networks (Computer)- Neural Networks (Computer)
- Network, Neural (Computer)
- Networks, Neural (Computer)
- Neural Network (Computer)
- Models, Neural Network
- Model, Neural Network
- Network Model, Neural
- Network Models, Neural
- Neural Network Model
- Perceptrons
- Perceptron
- Connectionist Models
- Connectionist Model
- Model, Connectionist
- Models, Connectionist
- Neural Network Models
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Below are MeSH descriptors whose meaning is more general than "Neural Networks (Computer)".
Below are MeSH descriptors whose meaning is more specific than "Neural Networks (Computer)".
This graph shows the total number of publications written about "Neural Networks (Computer)" by people in this website by year, and whether "Neural Networks (Computer)" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
Year | Major Topic | Minor Topic | Total |
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1998 | 1 | 0 | 1 | 1999 | 1 | 0 | 1 | 2000 | 0 | 1 | 1 | 2001 | 1 | 0 | 1 | 2002 | 2 | 0 | 2 | 2003 | 0 | 1 | 1 | 2004 | 2 | 0 | 2 | 2006 | 1 | 0 | 1 | 2007 | 1 | 0 | 1 | 2009 | 1 | 0 | 1 | 2011 | 1 | 0 | 1 | 2012 | 2 | 0 | 2 | 2013 | 0 | 1 | 1 | 2014 | 2 | 0 | 2 |
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Below are the most recent publications written about "Neural Networks (Computer)" by people in Profiles.
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Cabessa J, Siegelmann HT. The super-Turing computational power of plastic recurrent neural networks. Int J Neural Syst. 2014 Dec; 24(8):1450029.
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Curteanu S, Suditu GD, Buburuzan AM, Dragoi EN. Neural networks and differential evolution algorithm applied for modelling the depollution process of some gaseous streams. Environ Sci Pollut Res Int. 2014 Nov; 21(22):12856-67.
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Lyden K, Keadle SK, Staudenmayer J, Freedson PS. A method to estimate free-living active and sedentary behavior from an accelerometer. Med Sci Sports Exerc. 2014 Feb; 46(2):386-97.
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Engoren M, Habib RH, Dooner JJ, Schwann TA. Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery. J Clin Monit Comput. 2013 Aug; 27(4):455-64.
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Carlucci D, Renna P, Schiuma G. Evaluating service quality dimensions as antecedents to outpatient satisfaction using back propagation neural network. Health Care Manag Sci. 2013 Mar; 16(1):37-44.
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Thivierge JP, Minai A, Siegelmann H, Alippi C, Geourgiopoulos M. A year of neural network research: special issue on the 2011 International Joint Conference on Neural Networks. Neural Netw. 2012 Aug; 32:1-2.
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Cabessa J, Siegelmann HT. The computational power of interactive recurrent neural networks. Neural Comput. 2012 Apr; 24(4):996-1019.
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Freedson PS, Lyden K, Kozey-Keadle S, Staudenmayer J. Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample. J Appl Physiol (1985). 2011 Dec; 111(6):1804-12.
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Staudenmayer J, Pober D, Crouter S, Bassett D, Freedson P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. J Appl Physiol (1985). 2009 Oct; 107(4):1300-7.
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Beversdorf DQ, Narayanan A, Hillier A, Hughes JD. Network model of decreased context utilization in autism spectrum disorder. J Autism Dev Disord. 2007 Jul; 37(6):1040-8.
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