Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

Research Article

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

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  • @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
Dr. Jasmin1,*, Dr.D. Gokulakrishnan2, Dr.M. Sriram3
  • 1: Associate Professor, Department of EEE, Bharath Institute of Higher Education and Research
  • 2: Associate Professor, ECE, Sri Sairam Institute of Technology, Chennai, India
  • 3: Associate Professor, CSE, Bharath Institute of Higher Education and Research, Chennai, India
*Contact email: rifriz@gmail.com

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.