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《特种设备安全技术》2011,(3):7-7
图表、定理、公式等,一律用阿拉伯数字依序分别编号。如图1、图2、表3、表4、定理1、定理2、式(3)、式(4)。只有一幅图、一张表、一个定理时,也应编号为“图1”、“表1”、“定理1”。图号与图名间应有一字空。表号与表名间应有一字空。 相似文献
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赵峥 《资源节约和综合利用》2008,(1):54-55
时间有没有开始和结束?千百年来,许多伟大的思想家对此进行过深入的探索,但是有关的探讨都局限在哲学的分析和猜测上。从20世纪60年代开始,物理学开始介入了这一问题的研究。其标志是彭若斯和霍金提出的奇点定理,该定理概括并超出了关于宇宙开端和终结的研究。奇点定理可粗略表达为,只要广义相对论成立、因果性良好、有物质存在,就至少有一个物理过程. 相似文献
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从"庇古税"到"科思定理":经济学进步了多少 总被引:4,自引:0,他引:4
刘学敏 《中国人口.资源与环境》2004,14(3):131-133
毋庸置疑,自经济学产生尤其是20世纪以来,经济学所取得的进步比任何别的社会科学都要大。经济的发展和成熟为经济学家提供了展示才华的舞台,由此,经济学获得了前所未有的发展。但是.社会存在决定社会意识。在一个没有“飞跃”的社会里,经济思想即便有所进步和发展.也只能体现在“量”上和发展程度上。就是说,只要经济学所依赖的经济形态没有变化,便不会出现真正意义的“革命”。 相似文献
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XU Min ZENG Guang-ming XU Xin-yi HUANG Guo-he SUN Wei JIANG Xiao-yun 《环境科学学报(英文版)》2005,17(6):946-952
Bayesian regularized BP neural network(BRBPNN) technique was applied in the chlorophyll-α prediction of Nanzui water area in Dongting Lake. Through BP network interpolation method, the input and output samples of the network were obtained. After the selection of input variables using stepwise/multiple linear regression method in SPSS i1.0 software, the BRBPNN model was established between chlorophyll-α and environmental parameters, biological parameters. The achieved optimal network structure was 3-11-1 with the correlation coefficients and the mean square errors for the training set and the test set as 0.999 and 0.000?8426, 0.981 and 0.0216 respectively. The sum of square weights between each input neuron and the hidden layer of optimal BRBPNN models of different structures indicated that the effect of individual input parameter on chlorophyll- α declined in the order of alga amount 〉 secchi disc depth(SD) 〉 electrical conductivity (EC). Additionally, it also demonstrated that the contributions of these three factors were the maximal for the change of chlorophyll-α concentration, total phosphorus(TP) and total nitrogen(TN) were the minimal. All the results showed that BRBPNN model was capable of automated regularization parameter selection and thus it may ensure the excellent generation ability and robustness. Thus, this study laid the foundation for the application of BRBPNN model in the analysis of aquatic ecological data(chlorophyll-α prediction) and the explanation about the effective eutrophication treatment measures for Nanzui water area in Dongting Lake. 相似文献