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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
Self-Organizing Map (SOM) Neural Networks for Air Space Sectoring
TL;DR: The computation of automatic balanced sectoring of airspace to decrease collision and increase air traffic control capacity in high density traffic airspace area is presented and SOM is found better technique in comparison to the ART1 neural networks & genetic algorithm used earlier.
Proceedings ArticleDOI
Traveling wave based protection for medium voltage grids with distributed generation
Nadezhda Davydova,Gabriela Hug +1 more
TL;DR: In this article, a new protection algorithm for medium voltage lines based on Traveling Wave theory is presented, where the fault direction is determined by analyzing differential equations that describe the behavior of fault-induced current waves in the vicinity of the protection terminal.
Journal ArticleDOI
Adaptive neuro-fuzzy inference system–based model for elevation–surface area–storage interrelationships
TL;DR: The proposed ANFIS model would ensure a more accurate simulation than the ANN and the classical AR models, and will give better predictions than the use of any new or existing regression models.
Proceedings ArticleDOI
Artificial neural network modelling for performance prediction of solar energy system
TL;DR: In this paper, the authors investigated the effect of the number of input variables on both the accuracy and the robustness of the ANN method for predicting the performance parameters of a solar energy system.
Journal ArticleDOI
Identifying and testing of signatures for non-volatile biomolecules using tandem mass spectra
TL;DR: The use of the Kohonen Self-Organized Mapping (SOM) neural network is investigated to generate and test signatures (fragmentation patterns) for a given set of non-volatile biomolecules using spectra generated by tandem mass spectrometry with CID.