caa a22 4500 477075487 CHVBK 20180405111438.0 cr unu---uuuuu 170330e19960601xx s 000 0 eng 10.1007/BF02901229 doi (NATIONALLICENCE)springer-10.1007/BF02901229 A neural network for weighted least-squares criteria of traveltime tomography [Elektronische Daten] [Ma Ning, Hu Zhengyi, Wang Yanping] TH network has been applied successfully to linear optimum and some quadratic optimum problems. This paper discusses how to determine the gain function of the net amplifiers and choose appropriate parameters to solve weighted least-squares problems. To test the performance of the net, it is used for seismic traveltime tomography in computer simulation. Two media of different contrast are taken in simulation. The experimental results show that if the parameters are determined appropriately, the performance of the network is good and the results are close to the ideal ones. Springer, 1996 TH network nationallicence weighted least-sqaures nationallicence traveltime tomography nationallicence Ning Ma College of Electronic Information, Wuhan University, 430072, Wuhan, China aut Zhengyi Hu College of Electronic Information, Wuhan University, 430072, Wuhan, China aut Yanping Wang College of Electronic Information, Wuhan University, 430072, Wuhan, China aut Wuhan University Journal of Natural Sciences Wuhan University 1/2(1996-06-01), 208-212 1007-1202 1:2<208 1996 1 11859 https://doi.org/10.1007/BF02901229 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02901229 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ning Ma College of Electronic Information, Wuhan University, 430072, Wuhan, China aut NATIONALLICENCE 700 1- Zhengyi Hu College of Electronic Information, Wuhan University, 430072, Wuhan, China aut NATIONALLICENCE 700 1- Yanping Wang College of Electronic Information, Wuhan University, 430072, Wuhan, China aut NATIONALLICENCE 773 0- Wuhan University Journal of Natural Sciences Wuhan University 1/2(1996-06-01), 208-212 1007-1202 1:2<208 1996 1 11859 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer