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Study on Multistage Decision-Making Problem with Transiently Chaotic Neural Network for Dynamic Selection of Composite Web Services

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4 Author(s)
Yan Gao ; Member, IEEE, PhD student, College of Information Science and Engineering, Northeastern University, P. R. China. phone: +86 024 83688338, e-mail: ; Yu Dai ; Bin Zhang ; Lei Yang

For the widely use of multistage decision-making problem in our normal life such as in the new research area of dynamic selection of composite Web services, this paper exerts all its effort on proposing a new approach to solve such problem. Motivated by transiently chaotic neural networks' high parallel performance and powerful computation, a novel transiently chaotic neural network is proposed in this paper for this task. In order to make this algorithm more adaptable for multistage decision-making problem, a new neural network structure for implementing the algorithm is proposed which is a modification to the one used by Thomopoulos or Rauch and Winarske

Published in:

2006 IEEE International Conference on Service Operations and Logistics, and Informatics

Date of Conference:

21-23 June 2006