Ventilation system reliability evaluation based on PNN neural network

DOI

10.2991/icismme-15.2015.150How to use a DOI?

Keywords

Ventilation system reliability; Probabilistic neural network (PNN); Evaluation method.

Abstract

In order to accurately and quickly identify the level of ventilation system reliability of coal mines, a new evaluation method based on Probabilistic neural network (PNN) was proposed in this paper. The design of structure of network, the rationale of evaluation algorithm and the performance of proposed method were discussed in detail. The case analysis indicated that the application of proposed method is feasible and reasonable and this evaluation method is easier and more practical. The research of this evaluation method could provide a new way of thinking for reliability judgment of the mine ventilation system.

Copyright

© 2015, 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/).

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TY  - CONF
AU  - Biao Wu
AU  - Yueping Qin
PY  - 2015/07
DA  - 2015/07
TI  - Ventilation system reliability evaluation based on PNN neural network
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 724
EP  - 728
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.150
DO  - 10.2991/icismme-15.2015.150
ID  - Wu2015/07
ER  -