PNN구조에 기반한 가스터빈 전력 시스템의 NOx 방출 패턴에 대한 퍼지모델 = A Fuzzy model for NOx emission pattern of gas turbine power plants on the PNN structure

다국어 초록 (Multilingual Abstract)

In this paper, a fuzzy model based on the Polynomial Neural Network (PNN) structure is proposed to estimate the emission pattern for air pollutant in power plants. The new algorithm uses PNN algorithm based on Group Method of Data Handling (GMDH) algorithm and fuzzy reasoning in order to identify the premise structure and parameter of fuzzy implications rules, and the least square method in order to identify the optimal consequence parameters. Time series data for the gas furnace are used for the purpose of evaluating the performance of the new fuzzy model. This model is applied to data for the NOx emission process of gas turbine power plants. The simulation results show that the proposed technique can produce the optimal fuzzy model with higher accuracy and feasibility than other works achieved previously.