White Matter Method For Dynamic Complex Network And Its Application On Traffic Control

The researches of complex networks of nodes and edges of the relevant issues related to the existence of nodes and edges in many applications in the real world. In complex networks, neural networks, biological networks theory, the main research direction is the evolution of the network structure, power-law distribution, propagation characteristics, fewer problems related to the dynamic evolution of the right side of the relationship with the environment changes, in addition to the right to adjust the controls on the side when considering the whole system is also less network state, and more for the sake of discussion, it is difficult to achieve system optimization purposes. This thesis from the environmental characteristics of the dynamic changes in complex networks, learn the mechanism of white matter tissue, and to explore the dynamic relationship right side of the complex network problems from a new angle.The white matter of the brain systems is an important organization, if the gray matter of the brain as a collection of neurons nodes that white matter is a collection of edges connecting nodes that process information in the brain plays an important role, affecting the nerves conduction velocity and intensity in recent years, the brain is one of the most popular science research.This thesis describes the operating principle of the white matter of the biological theory of the structure and function of various parts of the white matter have been described, highlight its dynamic adaptive changes in the complex environment perception and regional and characteristics.Then on the biological model to abstract information model established white matter. Thesis describes a multi-level structure of the white matter of the model. Schwann cells in artificial model of individual and population multilayer structures-submitted a distributed sampling and analysis of data on the perception of the environment, the information center for evaluation and analysis of data submitted to derive value adjustment mode is recommended.Next article describes in detail the individual human Schwann cells during the life of three states:precursors, immature and mature. And Schwann cells on artificial three stages of the signal acquisition and processing mechanisms are described in draws Schwann cell myelination get a signal on the basis of the principles of construction of the signal acquisition, for an input signal sampling, through artificial Schwann cell analysis and processing, the final decision in two directions Schwann cell precursors state evolution:a mature or immature Schwann cells artificial artificial Schwann cells. The article discusses the human Schwann cell populations to submit data to assess individual Schwann cells on artificial methods, but also gives the corresponding algorithm, calculation methods also analyzed the relationship between the signals between the white matter of the model and the final output value and significance. In order to establish a self-adaptive dynamic control model system white matter reflects the inherent intelligence, the thesis also draws on the principles of neuronal excitability, made the right side of the positive and negative control methods.Finally, this thesis describes the model is applied to the white matter of the feasibility of closed-loop traffic control and the entire control system. In order to obtain the input data set in which the white matter model, the introduction of space syntax theory, and in Wuhan city transport network, for example, to draw a road network traffic and generate axis graph, the relevant data in order to get the road network of the city of Wuhan. This article describes the process followed to establish the parameters of traffic and the white matter of the model. To arrive at an objective and effective data sample, the model uses the space syntax theory derived data, and then introduces the feedback mechanism of white matter model transportation network that get positive and negative regulation by adjusting the value of white matter model, modified to adjust parameters according to the moderating effect process. Thesis describes the practical significance of the white matter model, users can take some measures, such as widening roads or traffic control based on traffic conditions, in order to obtain the aim of improving traffic.