neural network(redirected from Present challenges in neural Networks)
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neural networkalso neural net
A device or software program in which many interconnected elements process information simultaneously, adapting and learning from past patterns. Neural networks are often used to model the human brain.
1. (Physiology) an interconnected system of neurons, as in the brain or other parts of the nervous system
2. (Computer Science) Also called: neural net an analogous network of electronic components, esp one in a computer designed to mimic the operation of the human brain
1. any group of neurons that conduct impulses in a coordinated manner, as the assemblages of brain cells that record a visual stimulus.
2. Also called neu′ral net′. a computer model designed to simulate the behavior of biological neural networks, as in pattern recognition, language processing, and problem solving, with the goal of self-directed information processing.
See also related terms for network.
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|Noun||1.||neural network - computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error|
computer architecture - the art of assembling logical elements into a computing device; the specification of the relation between parts of a computer system
|2.||neural network - any network of neurons or nuclei that function together to perform some function in the body|
nervous system, systema nervosum - the sensory and control apparatus consisting of a network of nerve cells
reticulum - any fine network (especially one in the body composed of cells or blood vessels)
reticular formation, RF - a complex neural network in the central core of the brainstem; monitors the state of the body and functions in such processes as arousal and sleep and attention and muscle tone
n (Anat) → Nervennetzwerk nt; (Comput) → neurales Netz