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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. Artificial neural network (ANN) processing devices can be algorithms or actual hardware that are loosely modeled after the neuronal structure of the mammalian cerebral cortex. 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, and primarily in the branch of machine learning called deep learning. The following are types of neural networks used in machine learning as well as topics associated with neural networks. 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.

Timeline

Patents

Further Resources

Title
Author
Link
Type
Date

An AI Pioneer Explains the Evolution of Neural Networks

Nicholas Thompson

Web

May 13, 2019

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

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

5 October 2017

Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models

Ardavan Salehi Nobandegani, Thomas R. Shultz

Academic paper

References

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