By Topic

Research on Evaluation Model for Desulphurizer Performance Based on Fuzzy Probabilistic Neural Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jinhui Zhang ; Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China ; Chengfang Tian ; Wei Fang ; Nannan Zhang

Based on combination of the microstructure and catalytic performance of desulphurizer, the paper proposes the evaluation model for desulphurizer performance based on Fuzzy Probabilistic Neural Network Model (FPNN) which combines the relative membership degree in fuzzy mathematics with Probabilistic Neural Network (PNN). In addition, the results of MATLAB simulation verification show that the calculation of this method is succinct rapid, and the evaluative result is objective.

Published in:

Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on

Date of Conference:

1-3 Nov. 2009