A Review Paper on Artificial Neural Network in Cognitive Science
Journal: International Journal of Engineering and Techniques (Vol.2, No. 2)Publication Date: 2016-03-01
Authors : Sanjeev S Sannakki Anjanabhargavi A Kulkarni.;
Page : 118-123
Keywords : Artificial Neural Network (ANN); Adaptive Learning; Pattern Recognition; Cognitive;
Abstract
Artificial neural networks are fundamental means for providing an attempt at modelling the information processing capabilities of artificial nervous system which plays an important role in the field of cognitive science. This paper focuses the features of artificial neural networks studied by reviewing the existing research works, these features were then assessed and evaluated and comparative analysis. The study and literature survey metrics such as functional capabilities of neurons, learning capabilities, style of computation, processing elements, processing speed, connections, strength, information storage, information transmission, communication media selection, signal transduction and fault tolerance were used as basis for comparison. A major finding in this paper showed that artificial neural networks served as the platform for neuron computing technology in the field of cognitive science
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