Title :
Artificial neural networks: a tutorial
Author :
Jain, Anil K. ; Mao, Jianchang ; Mohiuddin, K.M.
Author_Institution :
Michigan State Univ., East Lansing, MI, USA
fDate :
3/1/1996 12:00:00 AM
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 :
character recognition; neural nets; neurophysiology; ANN application; artificial computational model; artificial neural networks; basic biological neuron; character recognition; interconnected simple processors; learning processes; massively parallel systems; network architectures; Artificial neural networks; Biological neural networks; Biological system modeling; Biology computing; Computer architecture; Concurrent computing; Humans; Integrated circuit interconnections; Parallel processing; Tutorial;
