DocumentCode
237897
Title
Novel implementation of ANN using magnets
Author
Kotur, Bhargava R.
Author_Institution
Dept. of Lifelong Learning, Bharathidasan Univ., Tiruchirappalli, India
fYear
2014
fDate
8-10 May 2014
Firstpage
1052
Lastpage
1055
Abstract
The implementation of the artificial neural networks using electromagnets has been discussed in this paper. This novel ANN system comprises of electromagnets as its neurons and the inputs are also applied through magnets and the outputs are read as the magnetic field intensities. It follows all the principles from the traditional artificial neural networks. The added advantage of this implementation is that its magnetic field interactions will yield the outputs instantly without any explicit computations at all unlike in the case of the conventional ANN systems. So, in this respect the proposed system is more efficient against the ANN implementations in practice.
Keywords
electromagnets; magnetic field effects; neural nets; ANN; artificial neural networks; electromagnets; magnetic field intensities; magnetic field interactions; neurons; Artificial neural networks; Multi-layer neural network; Neurons; Artificial Neural Networks; Back Propagation; Efficient; Magnetic Flux; Magnets; No Computations; Novel;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location
Ramanathapuram
Print_ISBN
978-1-4799-3913-8
Type
conf
DOI
10.1109/ICACCCT.2014.7019257
Filename
7019257
Link To Document