Artificial Neural Network Based Evaluation Method of Urban Public Security

In a Smarter City, available resources are harnessed safely, sustainably and efficiently to achieve positive, measurable economic and societal outcomes. Enabling City information as a utility, through a robust (expressive, dynamic, scalable) and (critically) a sustainable technology and socially synergistic ecosystem could drive significant benefits and opportunities. In this paper we propose a model based on Grid Management System. This model is based on grid cycle providing grid capturing, grid sharing, grid enhancing and grid preserving. Moreover, our model shares grid that supports the law of knowledge dynamics. Later we illustrate a scenario of Pudong District of Shanghai for independence issues. An Artificial Neural network (ANN) based simulation applying the proposed Grid Management System model is also described at the end of this paper to validate its applicability.