neural network

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Related to neural network: Artificial neural network

neural network

also 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.

American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

neural network

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

Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014

neu′ral net′work

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.

[1985–90]

neural, neural network - Neural comes from Greek neuron, "nerve"; neural network can now refer to computer architecture in which processors are connected in a manner suggestive of connections between neurons.

neural network

n (Anat) → Nervennetzwerk nt; (Comput) → neurales Netz

Collins German Dictionary – Complete and Unabridged 7th Edition 2005. © William Collins Sons & Co. Ltd. 1980 © HarperCollins Publishers 1991, 1997, 1999, 2004, 2005, 2007

References in periodicals archive ?

First of all, neural network as an ideal black box recognition tool can effectively analyze and simulate the black box problem (cryptanalysis problem), infinitely approach the cryptanalysis problem, and finally get the algorithm equivalent to the encryption and decryption algorithm to achieve cryptanalysis.

Research on Plaintext Restoration of AES Based on Neural Network

The steam turbine has been largely applied to power plant because of the costs efficiencies with respect to the capacity, application, and desired performance; a different level of complexity is offered for the structure of steam turbines, to increase the thermal efficiency so that the steam turbine consists of high pressure, intermediate pressure, and low pressure stages due to the complexity of turbine structure using artificial neural network to study the performance of steam turbine and more difficultly to predict the effects of proposed control system on the steam turbine in power plant, therefore, developing nonlinear analytical models.

Enhancement of Performance for Steam Turbine in Thermal Power Plants Using Artificial Neural Network and Electric Circuit Design

Keywords: Artificial Neural Network; Petrophysical analysis; Porosity prediction; seismic attributes, Prospective zones.

Probabilistic neural network approach for porosity prediction in Balkassar area: a case study

Knowledge base for training the back-propagation neural network was built on process-controlled data between April 2010 and June 2012, or rather, more than 3700 sets of data were used to develop the present approach.

Intelligent system for improving dosage control/Inteligencia artificial aplicada ao controle da dosagem de coagulante em plantas de tratamento de agua

The BAM neural network model (1) consists of two layers.

Novel Conditions for Robust Stability of Bidirectional Associative Memory Neural Networks with Multiple Time Delays

Artificial Neural Network Market outlook 2019 to 2023 is published by MRFR.

Artificial Neural Network Market Size 2019 Global Trends, Largest Share, Segments, Competitors Strategy, Regional Analysis and Growth by Forecast to 2023

This study demonstrated that the neural network model is useful tool for predicting MBA student performance.

Prediction of Students' Academic Performance using Artificial Neural Network

An artificial neural network is a type of artificial intelligence that uses connected units to process information in a manner similar to the way the brain processes information.

OPTICAL TRAINING OF NEURAL NETWORKS IMPROVES AI

What we want to see here is, if we show a bunch of examples of these particles, many many different particles, to a neural network, whether the neural network can develop 'intuition' for it."

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 neural net 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 neural net 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 RAS, reticular activating system - the network in the reticular formation that serves an alerting or arousal function