Preferred Label : neural networks (Computer);
CISMeF synonym : Neural Net; Artificial Neural Network;
MeSH synonym : connectionist model; connectionist models; model, connectionist; model, neural network; models, connectionist; models, neural network; network model, neural; network models, neural; network, neural (computer); networks, neural (computer); neural network (computer); neural network model; neural network models; perceptron; perceptrons;
EFMI definition : A computational model inspired by the structure of the human brain. It is composed
of interconnected nodes, or “neurons” organized into layers: an input layer that receives
data, one or more hidden layers that process and identify patterns in the data, and
an output layer that presents the final network output.; Source: Adapted from: International Organization for Standardization. (2020).
Software and systems engineering — Software testing — Part 11: Guidelines on the testing
of AI-based systems (ISO/IEC TR 29119-11: 2020). https://www.iso.org/standard/79016.htmlExternal
Link Disclaimer Network of the National Library of Medicine. (n.d.). Neural Networks.
National Institute of Health. Retrieved July 31, 2024, from https://www.nnlm.gov/guides/data-glossary/neural-networks;
MeSH definition : 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.;
Wikipedia link : https://en.wikipedia.org/wiki/Perceptron;
Origin ID : 10418;
Automatic exact mappings (from CISMeF team)
- Currated CISMeF NLP mapping
- EFMI mappings
A computational model inspired by the structure of the human brain. It is composed
of interconnected nodes, or “neurons” organized into layers: an input layer that receives
data, one or more hidden layers that process and identify patterns in the data, and
an output layer that presents the final network output.
Source: Adapted from: International Organization for Standardization. (2020).
Software and systems engineering — Software testing — Part 11: Guidelines on the testing
of AI-based systems (ISO/IEC TR 29119-11: 2020). https://www.iso.org/standard/79016.htmlExternal
Link Disclaimer Network of the National Library of Medicine. (n.d.). Neural Networks.
National Institute of Health. Retrieved July 31, 2024, from https://www.nnlm.gov/guides/data-glossary/neural-networks
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.
http://archives.uness.fr/sites/umvf/media/ressWikinu/Neurophysiologie/Neurophysiologie_UPMC/2007-neurophysio-circuits-reseau-bruit-jfv.pdf
2012
false
true
false
true
false
France
educational course
Neural Networks, Computer
Electronic Data Processing
information processing
noise
neural networks (Computer)
Electronic Data Processing
information processing
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