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Artificial neural network

Artificial neural network

A computational model biologically inspired network of artificial neurons applied in computers to execute specific tasks

Neural network is a computational model that is inspired from the biological nervous system. It is an interconnected system of artificial neurons. It is also called as Artificial neural network (ANN). Neural networks execute tasks such as clustering, classification, association and prediction.

"A neural network is 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." Dr. Robert Hecht-Nielsen, inventor of one of the first neurocomputers.

Neural networks are applied in various industries. Some of neural networks' featured ability are identifying patterns or trends in data and prediction or forecasting 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

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

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

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

5 October 2017

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