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Artificial neural network

Artificial neural network

An artificial neural network is a computer system that is modeled after the way the human brain analyzes and processes information.

An artificial neural network (ANN) is a computational model that imitates the biological network of the human body. It is an interconnected system of artificial neurons. Neural networks have self-learning capabilities and can execute tasks such as clustering, classification, association and prediction.

AI expert Maureen Caudill describes a neural network as "a computing system composed of a number of simple and highly interconnected processing elements that process information by their dynamic state response to external inputs."

Neural networks are applied in various industries. Some of neural networks' featured abilities include: identifying patterns or trends in data and prediction, which are suited for sales forecasting; industrial process control; customer research; data validation; risk management; and target marketing in the business sector.

Neural networks are also used in voice recognition, diagnosis of hepatitis, recovery of telecommunications from faulty software, interpretation of words, undersea mine detection, texture analysis, three-dimensional object recognition, handwritten word recognition, image recognition and facial recognition.

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Further reading

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An artificial neural network (p, d, q) model for timeseries forecasting

Mehdi Khashei and Mehdi Bijari

Academic paper

ARTIFICIAL NEURAL NETWORK MODELS FOR FORECASTING AND DECISION MAKING

Tim Hill, Leorey Marquez, Marcus O'Connor and William Remusa

Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models

Ardavan Salehi Nobandegani, Thomas R. Shultz

Academic paper

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Juergen Schmidhuber

Academic paper

Differentiable Image Parameterizations

Web

Event Representations for Automated Story Generation with Deep Neural Nets

Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl

Academic paper

Experiments in Handwriting with a Neural Network

Web

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

Dan C. Cireşan, Ueli Meier, Luca M. Gambardella, Jürgen Schmidhuber

Academic paper

Theory of the Backpropagation Neural Network

Robert Hecht-Nielsen

Academic paper

Documentaries, videos and podcasts

Title
Date
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An AI Pioneer Explains the Evolution of Neural Networks

May 13, 2019

But what *is* a Neural Network? | Chapter 1, deep learning

5 October 2017

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