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Nowadays, the factors such as China's current rapid economic development, combined with China's vast territory, large population, the deficiency of social productive forces, as well as the imbalance development between rural economy and urban economy lead to more serious energy and environmental problems for the realization of China's sustainable development and new industrialization road. Circular economy is a new path of industrialization and best selection of high-level economic model. This paper describes the content and the development principles of circular economy. We introduced the three-level model of the circular economy, as well as the development of each level for detail combined with current circular economy development practice. This paper has some guiding significance to realization of recycling economy development model.

The evaluation of university financial performance evaluation is a complex system. Domestic and foreign scholars generally agreed that the evaluation of university financial performance is a difficult task. In this paper, a new evaluation model with principal component analysis (PCA) and particle swarm optimization (PSO) neural network is founded based on the comprehensive evaluation index system of university financial performance evaluation. A neural network model to the problem is trained by particle swarm optimization technique, which is a new adaptive algorithm based on a social-psychological metaphor, using principal component analysis to extract availability information and to solve a principal component. After empirical research with MATLAB7.0, we find that both the convergence speed and the evaluation accuracy are enhanced in comparison with the traditional neural network model.