Research on sustainable development based on neural network

Abstract

How to evaluate and forecast sustainable development is one of key subjects for research. The influential factors of sustainable development were selected, which was including environment, economy and society in this paper. BP neural network is used to forecast Xiamen' sustainable development factors. The superiority of Neural Network makes it well simulate the nonlinear relationship between indexes and avoiding the subjectivity in traditional weight design methods. Furthermore, the evaluation results will be more objective and scientific than before. The experiment of Xiamen shows that the adaptive learning ability of BP Neural Network could effectively exclude artificial disturbance and objectively evaluate the sustainable development level.

Application of Artificial Neural Networks to Assess Student Happiness

“…Among the nonlinear statistical modeling and analysis approaches, artificial neural networks has been used extensively in data mining, knowledge extraction, and statistical modeling applications that focus on a wide variety of areas including education, supply chain management (Ko et al, 2010), healthcare (Begg et al, 2006), buildings and construction , sustainability (Zhang, Shang, & Wu, 2009), and transportation (Egilmez and McAvoy, 2017).…”