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Li, J., 2020. Evaluation of financial performance of port enterprises based on radial basis function neural network. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 255–258. Coconut Creek (Florida), ISSN 0749-0208. An objective, fair, and accurate evaluation of the financial performance of the port enterprises is an important measure to mobilize and improve the enthusiasm of the port enterprises employees and the progress of scientific and technological innovation. This paper proposes a refined evaluation model of the financial performance of port enterprise companies based on the radial basis function (RBF) neural network. The normalized financial performance index data of port enterprise companies are multiplied by the corresponding weight coefficient as the network input, using excellent, good, middle, and F5 grade evaluations as output. The particle swarm optimization algorithm was used to cross-validate the RBF network structure parameters. Through analyzing the RBF network structure and enter and export characteristics, it was found that the trained RBF network weights are highly correlated with the five-level evaluation results and can more accurately distinguish scientific research performance differences than the five-level evaluation results. This weight can be directly used to conduct a detailed evaluation of the financial performance of the port enterprises. This paper promotes the application of RBF networks in the evaluation of financial performance of port enterprise companies and provides new ideas for similar evaluations. [ABSTRACT FROM AUTHOR]

Wang, X. and Han, Y., 2020. Performance management evaluation of port enterprises in a low-carbon environment. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 334–337. Coconut Creek (Florida), ISSN 0749-0208. With increasing attention to environmental protection, building a low-carbon environment has become a global development trend. For the port industry, it is the only way for enterprises to adapt to the global economic changes. Therefore, port enterprises should actively use the new development mode of low-carbon economy in enterprise management so as to solve the problems of transformation and upgrading, energy conservation, and emission reduction. On this basis, this paper first introduces the theoretical basis of port enterprise performance management in a low-carbon economy, then analyzes the impact of a low-carbon environment on port enterprises, and finally studies the construction method of a port enterprise performance management system in a low-carbon environment. [ABSTRACT FROM AUTHOR]