Neuro-Fuzzy Relational Systems

B2-c58 M. Sheikhzadeh, M. Trifkovic, S. Rohani, Adaptive MIMO neuro-fuzzy logic control of a seeded and an unseeded anti-solvent semi-batch crystallizer, CHEMICAL ENGINEERING SCIENCE, 63(2008) 1261-1272. 2008 B2-c57 Anucha Saengrung, Amir Abtahi, Ali Zilouchian, Neural network model for a commercial PEM fuel cell system, JOURNAL OF POWER SOURCES, 172(2007) 749-759. 2007 http://dx.doi.org/10.1016/j.jpowsour.2004.03.071 B2-c56 P.K. Modi, S.P. Singh, J.D. Sharma, Voltage stability evaluation of power system with FACTS devices using fuzzy neural network, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 20(2007) 481-491. 2007 http://dx.doi.org/10.1016/j.engappai.2006.08.003 B2-c55 Ngai Hang Chan; Hoi Ying Wong, Data mining of resilience indicators, IIE Transactions, Volume 39, Issue 6 June 2007, pp. 617-627. 2007 http://goliath.ecnext.com/coms2/gi 0199-6531412/Data-mining-of-resilience-indicators.html B2-c54 Xishi Huang, Danny Ho Jing Ren, Luiz F. Capretz, Improving the COCOMO model using a neuro-fuzzy approach, Applied Soft Computing, 7(2007) 29-40. 2007 http://dx.doi.org/10.1016/j.asoc.2005.06.007 B2-c53 Natasa Kovac and Sanja Bauk, The Anfis based route preference estimation in sea navigation, Journal of Maritime Research, Volume 3, Number 3. pp. 69-86. 2006 B2-c52 B. Tutmez, Z. Hatipoglu, U. Kaymak, Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system, COMPUTERS & GEOSCIENCES, 32(2006) 421-433. 2006 http://dx.doi.org/10.1016/j.cageo.2005.07.003 B2-c51 W Karwowski, A Gaweda, W S Marras, K Davis, J M Zurada, D Rodrick, A fuzzy relational rule network modeling of electromyographical activity of trunk muscles in manual lifting based on trunk angels, moments, pelvic tilt and rotation angles, INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 36(2006) 847-859. http://dx.doi.org/10.1016/j.ergon.2006.06.006 B2-c50 Piotr Czekalski, Evolution-fuzzy rule based system with parametrized consequences, INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, Vol. 16, No. 3, pp. 373-385. 2006 http://matwbn.icm.edu.pl/ksiazki/amc/amc16/amc1638.pdf B2-c49 Casillas, J. Cordón, O. del Jesus, M.J. Herrera, F. Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction, IEEE Transactions on Fuzzy Systems, 13(1) pp. 13-29. 2005 http://dx.doi.org/10.1109/TFUZZ.2004.839670 B2-c48 Rodriguez, C.P.; Anders, G.J., Energy price forecasting in the Ontario competitive power system market, IEEE TRANSACTIONS ON POWER SYSTEMS, vol.19, no.1, pp. 366-374, Feb. 2004 http://ieeexplore.ieee.org/iel5/59/28330/01266590.pdf?

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[2]  Vasile Palade,et al.  Analysis of a Neuro-Fuzzy Approach of Air Pollution: Building a Case Study , 2001 .