지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
In this paper, we introduce a modeling and a process simulator developed with the aid of pRBFNNs for activated sludge process in the sewage treatment system. Activated sludge process(ASP) of sewage treatment system facilities is a process that handles biological treatment reaction and is a very complex system with non-linear characteristics. In this paper, we carry out modeling by using essential ASP factors such as water effluent quality, the manipulated value of various pumps, and water inflow quality, and so on. Intelligent algorithms used for constructing process simulator are developed by considering multi-output polynomial radial basis function Neural Networks(pRBFNNs) as well as Fuzzy C-Means clustering and Particle Swarm Optimization. Here, the apexes of the antecedent gaussian functions of fuzzy rules are decided by C-means clustering algorithm and the apexes of the consequent part of fuzzy rules are learned by using back-propagation based on gradient decent method. Also, the parameters related to the fuzzy model are optimized by means of particle swarm optimization. The coefficients of the consequent polynomial of fuzzy rules and performance index are considered by the Least Square Estimation and Mean Squared Error. The descriptions of developed process simulator architecture and ensuing operation method are handled.
목차
Abstract
1. 서론
2. 하수처리 시스템
3. 다항식 RBF 뉴럴네트워크 모델
4. 다항식 RBF 뉴럴네트워크 모델의 최적화
5. 시뮬레이터 설계 및 구현
6. 결론
감사의 글
References
참고문헌 (11)
참고문헌 신청
1. [학술지(정기간행물)] - Hyun-Ki Kim / 1991 / Fuzzy Modeling for Acticated Sludge Process and Control Systems / Trans, KIEE 40 (10) : 1072 ~ 1083
2. [학술지(정기간행물)] - J. N. Choi / 2009 / Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization / Lecture Notes in Computer Science 5552 : 127 ~ 134
3. [학술지(정기간행물)] - L.A Zadeh / 1997 / Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic / Fuzzy Sets Syst 90 : 111 ~ 117
4. [학술지(정기간행물)] - Y. Qian / 2009 / Knowledge structure knowledge granulation and knowledge distance in a knowledge base / Int. J. Approx. Reason 50 (1) : 174 ~ 188
5. [학술지(정기간행물)] - Y. Qian / 2008 / Combination entropy and combination granulation in rough set theory / Int. J. Uncertain Fuzzy Knowledge-Based Syst 16 (2) : 179 ~ 183
2. [학술지(정기간행물)] - J. N. Choi / 2009 / Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization / Lecture Notes in Computer Science 5552 : 127 ~ 134
3. [학술지(정기간행물)] - L.A Zadeh / 1997 / Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic / Fuzzy Sets Syst 90 : 111 ~ 117
4. [학술지(정기간행물)] - Y. Qian / 2009 / Knowledge structure knowledge granulation and knowledge distance in a knowledge base / Int. J. Approx. Reason 50 (1) : 174 ~ 188
5. [학술지(정기간행물)] - Y. Qian / 2008 / Combination entropy and combination granulation in rough set theory / Int. J. Uncertain Fuzzy Knowledge-Based Syst 16 (2) : 179 ~ 183
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UCI(KEPA) : I410-ECN-0101-2014-500-003121268