Design and Implementation of Jess based on Intelligent Diagnosis System Paper
Authors
Fan Zhang, Zheng Luo, XiKun Wu
Corresponding Author
Fan Zhang
Available Online November 2014.
- DOI
- 10.2991/meic-14.2014.48How to use a DOI?
- Keywords
- diagnosis system; Jess; reasoning under uncertainty; fact base; inference engine
- Abstract
This paper introduces how to achieve a Jess-based intelligent diagnosis system of local ventilation in the mine field, analyzes how to add rules engine Jess into the development of intelligent diagnosis system, at the same time, it leads the theory of statistics into the inference engine to achieve the reasoning under uncertainty, to reduce the gas explosion in coalmine accident and to improve the security of ventilation with positive significance.
- Copyright
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Fan Zhang AU - Zheng Luo AU - XiKun Wu PY - 2014/11 DA - 2014/11 TI - Design and Implementation of Jess based on Intelligent Diagnosis System Paper BT - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 213 EP - 216 SN - 2352-5401 UR - https://doi.org/10.2991/meic-14.2014.48 DO - 10.2991/meic-14.2014.48 ID - Zhang2014/11 ER -