ANALYSIS AND MODELLING OF SUPPORT VECTOR MECHANISM FOR THE BIOMASS GASIFICATION PROCESS

Authors

  • T. Sathish
  • M.D.Vijayakumar2
  • P. Periyasamy

Keywords:

Biomass gasification, Artificial Intelligence, Support Vector Mechanism

Abstract

Biomass gasification process is one of the major process of producing combustible gases like Carbon monoxide (CO), Hydrogen (H2) and traces of Methane and non-useful products like tar and dust are used in hot air generators, dryers, boilers, ovens, industries and in many other applications. So in order to improve the accuracy and efficiency of biomass gasification a precise modelling technique based on artificial intelligence is proposed in this paper. Support Vector Mechanism (SVM) is the proposed method used to increase the efficiency of the biomass gasification and to predict the biomass gasification by back propagation algorithm.

Metrics

PDF views
72
Jan 2019Jul 2019Jan 2020Jul 2020Jan 2021Jul 2021Jan 2022Jul 2022Jan 2023Jul 2023Jan 2024Jul 2024Jan 2025Jul 2025Jan 20266.0
|

Downloads

Published

2018-12-15

How to Cite

T. Sathish, M.D.Vijayakumar2, & P. Periyasamy. (2018). ANALYSIS AND MODELLING OF SUPPORT VECTOR MECHANISM FOR THE BIOMASS GASIFICATION PROCESS . Pakistan Journal of Biotechnology, 15(Special Issue ICRAME), 22–25. Retrieved from https://pjbt.org/index.php/pjbt/article/view/574