Neural Fuzzy System for Improved Decision Making For the Selection of Coding Scheme for the On Chip Communication

Jasmin, Dr. and Gokulakrishnan, Dr.D. and Sriram, Dr.M. (2021) Neural Fuzzy System for Improved Decision Making For the Selection of Coding Scheme for the On Chip Communication. In: I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: neural fuzzy system soc system optimal coding neural network
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 21 Jun 2021 08:11
Last Modified: 21 Jun 2021 08:11
URI: https://eprints.eudl.eu/id/eprint/3904

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