Research on Green Management Effect Evaluation of Power Generation Enterprises in China Based on Dynamic Hesitation and Improved Extreme Learning Machine

A review on extreme learning machine

Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward neural network (SLFN), which converges much faster than traditional methods and yields promising performance. In this paper, we hope to present a comprehensive review on ELM. Firstly, we will focus on the theoretical analysis including universal approximation theory and generalization. Then, the various improvements are listed, which help ELM works better in terms of stability, efficiency, and accuracy. Because of its outstanding performance, ELM has been successfully applied in many real-time learning tasks for classification, clustering, and regression. Besides, we report the applications of ELM in medical imaging: MRI, CT, and mammogram. The controversies of ELM were also discussed in this paper. We aim to report these advances and find some future perspectives.

An Evaluation Method of Green Development for Chemical Enterprises

Chemical enterprises in China make important contributions to daily life and the national economy. Since “green development” has been treated as one of the most important developmental strategies in China, scientifically evaluating the level of green development is extremely important for chemical enterprises. In this study, a systematic evaluation method is proposed for chemical enterprises by analytic hierarchy process (AHP). The key to this evaluation method is a new comprehensive indicator, the Green Development Degree (GDD). As an example, Shandong Lubei Enterprise, that has the process of phosphogypsum to sulfuric acid and cement (PSC), is analyzed by GDD. The results show that GDD would increase with the improvement of the PSC process’s green evolution. When compared with the national average level, the GDD of the case enterprise increases from 50 to 133. In addition, experience regarding the green development for chemical enterprises is proposed. This study aims to guide the green development of chemical enterprises, help enterprise groups to assess subsidiary corporations and adjust improvement measures, and achieve the national macro-control of chemical enterprises.