Artificial Neural Network
Keywords:
virtual reality, artificial intelligence, neural networkAbstract
An artificial neural network is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information.
The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. Ann’s, like people, learn by example.
An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning processing. Learning in biological systems involves adjustment to the synaptic connections that exists between the neurons. This is true of Ann’s as well. The first artificial neuron was produced in1943 by the neurophysiologist Warren McCulloch and the logician Walter Pits.
References
NEURAL NETWORKS by Christos Stergiou and Dimitrios Siganos. http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/rep
ort.html
Industrial Applications of Neural Networks (research reports Esprit, I.F.Croall, J.P.Mason)
DARPA Neural Network Study (October, 1987-February, 1989). MIT Lincoln Lab. Neural Networks, Eric Davalo and Patrick Naim.
Mehrotra, Kishan, Chilukuri Mohan, and Sanjay Ranka. Elements of Artificial Neural Networks. Boston: MIT Press, 1997.
‘The Intellectual Excitement of Computer Science’ for Eric Roberts' Sophomore College 2000 class. http://www-csfaculty. stanford.edu/~eroberts/courses/soco/projects/neuralnetworks/index.html
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