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Fundamentals of neural networks
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The article was published on 1993-01-01 and is currently open access. It has received 1921 citations till now. The article focuses on the topics: Time delay neural network & Physical neural network.read more
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Proceedings ArticleDOI
Cryptography Based On Neural Network.
TL;DR: The neural net application represents a way of the next development in good cryptography, e.g. designing such neural network that would be practically used in the area of cryptography, this paper also includes an experimental demonstration.
Journal ArticleDOI
Intelligent systems approaches to product sound quality evaluations – A review
Glenn Pietila,Teik C. Lim +1 more
TL;DR: In this article, the authors review the sound quality process and neural network models, and extend these introductions into a discussion regarding the value that can be gained in using an intelligent systems approach, namely ANNs, to sound quality analysis.
Proceedings ArticleDOI
Solar-array modelling and maximum power point tracking using neural networks
TL;DR: This paper is studying a solar-array modelling and maximum power point tracking by comparing 2 neural networks which are back-propagation neural network and radial basis function neural network, which shows that both neural network work very well.
Proceedings ArticleDOI
Predicting performance from test scores using backpropagation and counterpropagation
TL;DR: Two neural networks for general mapping problems, backpropagation and counter Propagation, are trained to predict students' grades in Calculus I from placement test responses to improve the ability of the net to generalize.
Journal ArticleDOI
ANN modelling and Elitist teaching learning approach for multi-objective optimization of $$\upmu $$-EDM
TL;DR: Artificial neural network modelling has been carried out to predict Material Removal Rate, Overcut effect and Recast Layer thickness and it is observed that ANN is a powerful prediction tool.