Title :
Research on Evaluation Model for Desulphurizer Performance Based on Fuzzy Probabilistic Neural Network
Author :
Zhang, Jinhui ; Tian, Chengfang ; Fang, Wei ; Zhang, Nannan
Author_Institution :
Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China
Abstract :
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.
Keywords :
chemical technology; fuzzy neural nets; power engineering computing; thermal power stations; MATLAB simulation verification; catalytic performance; desulphurizer performance; evaluation model; fuzzy mathematics; fuzzy probabilistic neural network; microstructure; relative membership degree; Fuzzy neural networks; Intelligent networks; Intelligent systems; Neural networks; Fuzzy mathematics; desulphurizer; probabilistic neural network; relative membership degree;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
DOI :
10.1109/ICINIS.2009.55
