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neural network

American  
[noor-uhl net-wurk, nyoor-uhl] / ˈnʊr əl ˈnɛtˌwɜrk, ˈnyʊr əl /

noun

  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 neural netComputers. a hardware or software system in which weighted connections between data nodes are refined to produce increasingly accurate results in information processing, as in pattern recognition or problem solving, with the goal of algorithmic computing that requires minimal human intervention.


neural network British  

noun

  1. an interconnected system of neurons, as in the brain or other parts of the nervous system

  2. Also called: neural net.  an analogous network of electronic components, esp one in a computer designed to mimic the operation of the human brain

"Collins English Dictionary — Complete & Unabridged" 2012 Digital Edition © William Collins Sons & Co. Ltd. 1979, 1986 © HarperCollins Publishers 1998, 2000, 2003, 2005, 2006, 2007, 2009, 2012

Etymology

Origin of neural network

First recorded in 1985–90

Example Sentences

Examples are provided to illustrate real-world usage of words in context. Any opinions expressed do not reflect the views of Dictionary.com.

The second key component is a fully connected neural network trained on thousands of examples.

From Science Daily • May 26, 2026

And in 2024 researchers at Harvard University developed a neural network model called TxGNN to surface existing drugs which could be used to treat rare conditions.

From BBC • May 22, 2026

“We spent years developing the mathematical theory required to compress a neural network without losing its reasoning capabilities,” said Hassibi, chief executive of the venture.

From The Wall Street Journal • Mar. 31, 2026

The neural network is trained using two complementary diffraction images, one captured with a vertical polarizer and one without.

From Science Daily • Mar. 29, 2026

And these technological therapies would have to be constructed, she said, so that they don’t invite their own side effects, like, say, overbuilding one neural network.

From "A Deadly Wandering: A Mystery, a Landmark Investigation, and the Astonishing Science of Attention in the Digital Age" by Matt Richtel

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