A class of multiple multi-dimensional Taylor networks dynamics model with herd behavior

A system that involves considerable quantities of individuals with subjective judgment tends to exhibit the feature of herd behavior. Existing research methods mainly focus on mechanisms and individuals, and hence they are incapable of establishing integrated models. We propose a dynamics modeling method for multiple multi-dimensional Taylor networks with intermittent feedback. The method is proved to be effective in establishing an overall optimization model of a system with herd behavior. Firstly, the methods of modeling multi-dimensional Taylor networks with intermittent feedback are discussed. Secondly, the characteristic of multiple multi-dimensional Taylor network is studied and used to regulate the appropriate proportion of herding behavior to long-term trend in the system. Finally, the specific method and procedure of identifying model parameters are given. The result of the application example demonstrates the modeling method of multiple multi-dimensional Taylor networks with intermittent feedback is realizable in practical applications, and has higher prediction accuracy. ©, 2015, South China University of Technology. All right reserved.