DocumentCode
120907
Title
Magnetic neural networks
Author
Kotur, Bhargava R.
Author_Institution
Dept. of Life Long Learning, Bharathidasan Univ., Tiruchirappalli, India
fYear
2014
fDate
21-22 Feb. 2014
Firstpage
1227
Lastpage
1230
Abstract
This article explores a novel way of implementing the artificial neural networks (ANN) by using magnets. Upon implementation it works very efficiently as the data spreads throughout the network, analogous to the natural neuronal systems in the human brain and it requires no computations at all as it is done in the present ANN implementations. The striking feature is, it gives error-free outputs and thereby it proves to be much more efficient compared to the existing artificial neural network systems.
Keywords
brain; magnets; neural nets; ANN; artificial neural networks; human brain; magnetic neural networks; natural neuronal systems; Artificial neural networks; Biological neural networks; Magnetic flux density; Magnetic separation; Manganese; Training; Artificial Neural Networks; Back Propagation; Efficient; Error free; Magnets; Novel;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location
Gurgaon
Print_ISBN
978-1-4799-2571-1
Type
conf
DOI
10.1109/IAdCC.2014.6779502
Filename
6779502
Link To Document