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To accurately evaluate the development level of ecological civilization in coastal cities, this paper proposes an evaluation algorithm of coastal city ecological civilization development based on Improved BP neural network, constructs the evaluation index system, and establishes the BP neural network-based evaluation model. By collecting the relevant data of 30 cities in China Line standardization, as the input learning matrix, entropy and coefficient of variation are used to evaluate the development level of ecological civilization. Through 5000 training times, the error accuracy is close to 10–7, and the cities with low ecological civilization level and less cultivated land resources per capita are found out. Based on the improved BP neural network method, according to the development level of coastal cities, the ecological culture of coastal cities is put forward as a whole. The countermeasures and suggestions of construction are given. • In this study, the ecological civilization development level of the coastal cities in Jiangsu was evaluated. • The evaluation results showed the overall development level of ecological civilization. • In the assessment, the comprehensive level of the secondary indexes is better than that of Donghai and Guanyun. • Jiangsu coastal cities have higher ecological civilization development levels, and Donghai and Guanyun is relatively low. [ABSTRACT FROM AUTHOR]

Abstract: The coefficient of variation (CV) has frequently been used to evaluate variation in a morphologically homogeneous fossil assemblage and to make inferences about its species composition. Comparisons of coefficients of variation in single- and mixed-species assemblages have typically involved mixed-species assemblages made up of an equal number of data points from two or more different species, but in reality, a fossil assemblage may be biased in favor of one or more of the component species. In this paper, we evaluate the effects of unequal species composition in mixed-species assemblages on CV distributions by carrying out an extensive series of resampling experiments. The experiments were designed to replicate a paleontological situation in which the species affiliation of particular specimens is not known. We use this technique to explore the pattern of metric variation in the postcanine dental assemblage from the middle Miocene site of Paşalar in a comparative context. The distributions of CVs from mixed assemblages that are heavily biased toward one species may be characterized by a greater range of CVs, increased skewing, and a tail of low values, but only heavily biased assemblages comprising species that differ markedly in size could be reliably identified on this basis. Evidence from the simulated CV distributions supports nonmetric evidence in indicating that the Paşalar assemblage represents a heavily biased assemblage of two species that are similar in size but not entirely overlapping in the size distributions of their postcanine teeth. [Copyright &y& Elsevier]