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Quaternionic Multilayer Perceptron with Local Analyticity.
- Source :
- Information (2078-2489); Dec2012, Vol. 3 Issue 4, p756-770, 15p
- Publication Year :
- 2012
-
Abstract
- A multi-layered perceptron type neural network is presented and analyzed in this paper. All neuronal parameters such as input, output, action potential and connection weight are encoded by quaternions, which are a class of hypercomplex number system. Local analytic condition is imposed on the activation function in updating neurons' states in order to construct learning algorithm for this network. An error back-propagation algorithm is introduced for modifying the connection weights of the network. [ABSTRACT FROM AUTHOR]
- Subjects :
- QUATERNIONS
CALCULUS
BACK propagation
ARTIFICIAL intelligence
MACHINE learning
Subjects
Details
- Language :
- English
- ISSN :
- 20782489
- Volume :
- 3
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Information (2078-2489)
- Publication Type :
- Academic Journal
- Accession number :
- 84452125
- Full Text :
- https://doi.org/10.3390/info3040756