By Jiacai Fu, Thi Tra Giang Dang, Minh Nhut Nguyen, Daming Shi (auth.), Wen Yu, Haibo He, Nian Zhang (eds.)
The 3 quantity set LNCS 5551/5552/5553 constitutes the refereed lawsuits of the sixth overseas Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in may well 2009.
The 409 revised papers awarded have been rigorously reviewed and chosen from a complete of 1.235 submissions. The papers are geared up in 20 topical sections on theoretical research, balance, time-delay neural networks, laptop studying, neural modeling, choice making structures, fuzzy structures and fuzzy neural networks, help vector machines and kernel equipment, genetic algorithms, clustering and type, trend popularity, clever keep watch over, optimization, robotics, photo processing, sign processing, biomedical purposes, fault analysis, telecommunication, sensor community and transportation platforms, in addition to applications.
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Extra resources for Advances in Neural Networks – ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II
Uncertainty Theory. Springer, Berlin (2004) 11. : Expected Value of Fuzzy Variable and Fuzzy Expected Value Models. IEEE Transactions on Fuzzy Systems 10, 445–450 (2002) 12. : On the Continuity and Absolute Continuity of Credibility Functions. Journal of Uncertain Systems 1, 185–200 (2007) 13. : A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management. International Journal of Production Economics 102, 289–301 (2006) 14. : Coordinated Control of Distribution Supply Chains in the Presence of Fuzzy Customer Demand.
IEEE Transactions on Systems, Man and Cybernetics, Part B 1, 902–918 (2001) 16. : DENFIS: Dynamic Evolving Neural-fuzzy Inference System and Its Application for Time-series Prediction. IEEE Transactions on Fuzzy Systems 10, 144– 154 (2002) Automated Sealed-Bid Negotiation Model for Multi-issue Based on Fuzzy Method Linlan Zhang1, Haigang Song2, and Xueguang Chen1 1 Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan 430074, China 2 Basic Research Service of the Ministry of Science and Technology of the P.
Yu, H. He, and N. ): ISNN 2009, Part II, LNCS 5552, pp. 15–24, 2009. c Springer-Verlag Berlin Heidelberg 2009 16 G. Wang, Y. Liu, and M. Zheng speciﬁed models. For example, Gutierrez et al.  presented a robust optimization approach and developed a modiﬁed Benders decomposition algorithm to uncapacitated network design problem. Tsiakis et al.  presented a two-stage program model for the design of multi-echelon supply chain network. Santoso et al.  proposed a large scale stochastic programming model for supply chain network design and solved it by a solution methodology integrated sampling strategy with an accelerated Benders decomposition algorithm.