Resource Industry Operation Study: Cooperation, Constraint and Sustainability

Abstract

The history of Human beings is the one of utilizing natural recourses. With the development of the economic, natural resources industry security risk management increasingly becomes an urgent and international issue. Analyzing the resources industry security under the systematic angle, the resources industry risk control is the complex system. This system is full of energy flowing which can be measured by the entropy. Hopfield neural network is the important neural networks model. The use of Hopfield neural network puts extra systematic directionality restraints on such risk control. It makes the objective function and constraints of resources industry security risk control, in terms of negative entropy, optimized by the Hopfield neural network energy function. Then as an effective try, some conclusions about reducing resources industry security risk also can be got.