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

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