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狭鳕(Theragra chalcogramma Palas)目标强度的现场测定 被引量:29
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作者 赵宪勇 陈毓桢 《中国水产科学》 CAS CSCD 1996年第4期19-27,共9页
1993年夏季“北斗”号调查船白令海狭鳕(TheragrachalcogrammaPalas)资源声学调查期间,利用计数—积分法对狭鳕的目标强度进行了现场测定。结果表明,平均叉长516cm的狭鳕的平均目标强度为-3... 1993年夏季“北斗”号调查船白令海狭鳕(TheragrachalcogrammaPalas)资源声学调查期间,利用计数—积分法对狭鳕的目标强度进行了现场测定。结果表明,平均叉长516cm的狭鳕的平均目标强度为-343dB;以常规的20Logl形式表示,其目标强度与叉长的关系式为TS=20Logl-68.6dB。该测定结果较目前采用的关系式:TS=20Logl-66.0dB低26dB;应用于资源量计算,其估算值将比现估算值高82%。 展开更多
关键词 狭鳕 离散集群 目标强度 现场测定
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The Rigidity of the Kernels of the Natural Morphisms between Toeplitz Algebras
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作者 许庆祥 王勤 《Journal of Donghua University(English Edition)》 EI CAS 2005年第1期41-44,共4页
Let (G, E) be a quasi-ordered group such that E∩E -1 is infinite, (G, G +) an ordered group with G +EG, and (G, G 1) the partially ordered group induced by (G, E).Let γ E, G + ∶T G + →T E and γ E, G 1 ∶T G 1 →T... Let (G, E) be a quasi-ordered group such that E∩E -1 is infinite, (G, G +) an ordered group with G +EG, and (G, G 1) the partially ordered group induced by (G, E).Let γ E, G + ∶T G + →T E and γ E, G 1 ∶T G 1 →T E be the corresponding natural morphisms between Toeplitz algebras. We prove that the kernel Ker γ E, G + is rigid,while Ker γ E, G 1 is equal to the compact-operator ideal on 2(G 1), and all Fredholm operators in the Toeplitz algebra T G 1 are of index zero. 展开更多
关键词 Discrete group Toeplitz algebra rigid ideal Fredholm operator.
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A TRANSFER FORECASTING MODEL FOR CONTAINER THROUGHPUT GUIDED BY DISCRETE PSO 被引量:4
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作者 XIAO Jin XIAO Yi +1 位作者 FU Julei LAI Kin Keung 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2014年第1期181-192,共12页
Abstract Accurate forecast of future container throughput of a port is very important for its con struction, upgrading, and operation management. This study proposes a transfer forecasting model guided by discrete par... Abstract Accurate forecast of future container throughput of a port is very important for its con struction, upgrading, and operation management. This study proposes a transfer forecasting model guided by discrete particle swarm optimization algorithm (TF-DPSO). It firstly transfers some related time series in source domain to assist in modeling the target time series by transfer learning technique, and then constructs the forecasting model by a pattern matching method called analog complexing. Finally, the discrete particle swarm optimization algorithm is introduced to find the optimal match between the two important parameters in TF-DPSO. The container throughput time series of two im portant ports in China, Shanghai Port and Ningbo Port are used for empirical analysis, and the results show the effectiveness of the proposed model. 展开更多
关键词 Analog complexing container throughput forecasting discrete particle swarm optimiza-tion transfer forecasting model.
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