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Helium, neon and argon isotope compositions of fluid inclu-sions in massive sulfides from the Jade hydrothermal field, the Okinawa Trough 被引量:5
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作者 zengzhigang QINYunshan ZHAIShikui 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2004年第4期655-661,共7页
Helium, neon and argon isotope compositions of fluid inclusions have been measured in massive sulfide samples from theJade hydrothermal field in the central Okinawa Trough. Fluid-inclusion 3He/4He ratios are between 6... Helium, neon and argon isotope compositions of fluid inclusions have been measured in massive sulfide samples from theJade hydrothermal field in the central Okinawa Trough. Fluid-inclusion 3He/4He ratios are between 6.2 and 10.1 times theair value (Ra), and with a mean of 7.8Ra, which are consistent with the mid-ocean ridge basalt values [3He/4He≈(6Ra^11Ra)]. Values for 20Ne/22Ne are from 10.7 to 11.3, which are significantly higher than the atmospheric ratio (9.8).And the fluid-inclusion 40Ar/36Ar ratios range from 287 to 334, which are close to the atmosperic values (295.5). Theseresults indicate that the noble gases of trapped hydrothermal fluids in massive sulfides are a mixture of mantle- andseawater-derived components, and the helium of fluid inclusions is mainly from mantle, the nelium and argon isotopecompositions are mainly from seawater. 展开更多
关键词 heliumneonargon isotopes seafloor massive sulfides Jade hydrothermal field
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Algebraic conditions of stability for Hopfield neural network 被引量:1
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作者 LIAOXiaoxin MAOXuerong +1 位作者 WANGJun zengzhigang 《Science in China(Series F)》 2004年第1期113-125,共13页
Using the relationship between the resistance, capacitance and current in Hopfield neural network, and the properties of sigmoid function, this paper gives the terse, explicit algebraical criteria of global exponentia... Using the relationship between the resistance, capacitance and current in Hopfield neural network, and the properties of sigmoid function, this paper gives the terse, explicit algebraical criteria of global exponential stability, global asymptotical stability and instability. Then this paper makes clear the essence of the stability that Hopfield defined, and provides a theoretical foundation for the design of a network. 展开更多
关键词 Hopfleld neural network physical parameter activation function stability.
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