Neuro-Fuzzy Modelling of Wastewater Treatment System

被引：0

作者：

Gaya, Muhammad Sani ^{[1
]}

Wahab, Norhaliza Abdul ^{[1
]}

Sam, Yahya Md ^{[1
]}

Razali, Mashitah Che ^{[1
]}

Samsudin, S. I. ^{[2
]}

机构：

[1] Univ Teknol Malaysia, Fac Elect Engn, Dept Control & Instrumentat Engn, Skudai 81310, Johor, Malaysia

[2] Univ Tekn Malaysia, Dept Ind Elect, Durian Tunggal 76100, Malaysia

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2012) | 2012年

关键词：

Wastewater treatment system; neuro-fuzzy; anfis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wastewater treatment system is highly uncertain and intricate system. Suitable model is a key to smooth and optimal operation of the system. The available wastewater treatment system models are too difficult to use and costly to experiment. This paper presents neuro-fuzzy modelling of wastewater treatment system. Adaptability, smoothness, effectiveness, reliability, less computational and empirical experimentation costs are some of the advantages of neuro-fuzzy approach. Simulation studies show that the proposed neuro-fuzzy technique yielded outstanding results. Thus, proven the technique is an efficient and valuable tool for modelling wastewater treatment system.

引用

页码：250 / 253

页数：4

共 11 条

[1]

HENZE M, 2000, 9 IAWQ

[2] ANFIS - ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM [J].

JANG, JSR .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (03) :665-685

[3]

Matsuo, 1987, 1 IAWQ

[4]

Nagy A. M., 2009, 15 IFAC S SYST ID SA, P106

[5]

Nejjari F, 1999, INT J ADAPT CONTROL, V13, P347, DOI 10.1002/(SICI)1099-1115(199908)13:5<347::AID-ACS543>3.0.CO

[6]

2-8

[7]

Ponce Cruz, 2009, INTELLIGENT CONTROL

[8]

Raju D, 2011, INT J COMPUT APPL, V29, P14

[9] Linearization of the activated sludge model ASM1 for fast and reliable predictions [J].

Smets, IY ;

Haegebaert, JV ;

Carrette, R ;

Van Impe, JF .

WATER RESEARCH, 2003, 37 (08) :1831-1851

[10] A systematic approach for reducing complex biological wastewater treatment models [J].

Steffens, MA ;

Lant, PA ;

Newell, RB .

WATER RESEARCH, 1997, 31 (03) :590-606

← 1 2 →