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Update-Based Machine Learning Classification of Hierarchical Symbols in a Slowly Varying Two-Way Relay Channel
- Source :
- Mathematics, Volume 8, Issue 11, Mathematics, Vol 8, Iss 2007, p 2007 (2020)
- Publication Year :
- 2020
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2020.
-
Abstract
- This paper presents a stochastic inference problem suited to a classification approach in a time-varying observation model with continuous-valued unknown parameterization. The utilization of an artificial neural network (ANN)-based classifier is considered, and the concept of a training process via the backpropagation algorithm is used. The main objective is the minimization of resources required for the training of the classifier in the parametric observation model. To reach this, it is proposed that the weights of the ANN classifier vary continuously with the change of the observation model parameters. This behavior is then used in an update-based backpropagation algorithm. This proposed idea is demonstrated on several procedures, which re-use previously trained weights as prior information when updating the classifier after a channel phase change. This approach successfully saves resources needed for re-training the ANN. The new approach is verified via a simulation on an example communication system with the two-way relay slowly fading channel.
- Subjects :
- Computer science
General Mathematics
Computer Science::Neural and Evolutionary Computation
02 engineering and technology
Communications system
0202 electrical engineering, electronic engineering, information engineering
Computer Science (miscellaneous)
Fading
Engineering (miscellaneous)
Parametric statistics
Artificial neural network
business.industry
lcsh:Mathematics
decision regions
020206 networking & telecommunications
lcsh:QA1-939
Backpropagation
wireless physical-layer network coding
Statistical classification
machine learning
020201 artificial intelligence & image processing
Artificial intelligence
business
Classifier (UML)
artificial neural networks
Relay channel
backpropagation
two-way relay channel
Subjects
Details
- Language :
- English
- ISSN :
- 22277390
- Database :
- OpenAIRE
- Journal :
- Mathematics
- Accession number :
- edsair.doi.dedup.....c8bb37924177334a7e05ffba0136d301
- Full Text :
- https://doi.org/10.3390/math8112007