Research Article
Neural Fuzzy System for Improved Decision Making For the Selection of Coding Scheme for the On Chip Communication
@INPROCEEDINGS{10.4108/eai.7-6-2021.2308653, author={Dr. Jasmin and Dr.D. Gokulakrishnan and Dr.M. Sriram}, title={Neural Fuzzy System for Improved Decision Making For the Selection of Coding Scheme for the On Chip Communication}, proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India}, publisher={EAI}, proceedings_a={I3CAC}, year={2021}, month={6}, keywords={neural fuzzy system soc system optimal coding neural network}, doi={10.4108/eai.7-6-2021.2308653} }- Dr. Jasmin
Dr.D. Gokulakrishnan
Dr.M. Sriram
Year: 2021
Neural Fuzzy System for Improved Decision Making For the Selection of Coding Scheme for the On Chip Communication
I3CAC
EAI
DOI: 10.4108/eai.7-6-2021.2308653
Abstract
Single coding scheme for the on chip communication in the SOC system may not be sufficient in the heterogeneous on chip communication .It is required to have multiple coding scheme and selection of optimal coding scheme is based on the communicating block .Selection of optimal coding scheme for the on chip communication is important to decide the overall performance. This paper proposes neural fuzzy system based optimal selection scheme to improve the performance .The fuzzy system will be able to provide optimal decision in presence of contradictory constraints and the neural network can able to provide a learning capability for the system .The results shows that the neural fuzzy system is able to provide superior performance comparing to the fuzzy alone system.
