Abstract

Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. The article discusses the motivations behind the development of ANNs and describes the basic biological neuron and the artificial computational model. It outlines network architectures and learning processes, and presents some of the most commonly used ANN models. It concludes with character recognition, a successful ANN application.

Keywords

Computer scienceArtificial neural networkMassively parallelArtificial intelligenceNervous system network modelsPhysical neural networkSimple (philosophy)Types of artificial neural networksMachine learningTime delay neural networkParallel computing

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Publication Info

Year
1996
Type
article
Volume
29
Issue
3
Pages
31-44
Citations
4862
Access
Closed

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Cite This

Abhishek Jain, Jianchang Mao, Khalid Mohiuddin (1996). Artificial neural networks: a tutorial. Computer , 29 (3) , 31-44. https://doi.org/10.1109/2.485891

Identifiers

DOI
10.1109/2.485891