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The solution of polarization field strength in ellipsoid and a homogeneous dielectric in condition of a constant external field is obtained with strict derivation and ellipsoidal coordinate. The conclusion that some textbooks given: the direction of polarization field strength with the direction of external field holds strict anti-parallel must be supplemented with additive certain conditions, otherwise it will not be correct. By means of the latticework and the step change calculation, the angle value of polarization vector with the external field is calculated and the changing situation about the angle value with the change of three half axes of ellipsoid is analysied. 相似文献
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李新华 《中南林业科技大学学报(自然科学版)》2001,21(2):100-102
求解直线与椭圆球面交点的方法一般采用辅助平面法求截交线，这条截交线的非积聚性投影往往为椭圆曲线.这种方法求解繁琐，而且精度低.采用换面法求解直线与椭圆球面的交点，关键在于确定被改换投影面的位置，使截交线在投影面上的投影为圆.此法使作图大大简化，而且精度极大提高. 相似文献
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To overcome the limitations of the standard ellipsoidal unit neural networks, some new approaches used in ellipsoidal unit neural networks have been proposed. These new approaches address three main issues: firstly, to understand better and represent the nature of fault classification boundaries; secondly, to determine the network structure without the usual trial and error schemes; lastly, to avoid erroneous generalizations. The application in CSTR shows that the ellipsoidal unit networks can possess arbitrary nonlinear classifying ability, nonlinear interfacial describing ability, and obtain accurate and efficient diagnosis results. 相似文献
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航空专用离心喷头雾化性能试验与影响因子研究 总被引：1，自引：0，他引：1
针对航空施药模式下喷头喷雾参数与雾化参数关系不明确的问题,本文结合喷雾性能测试与建立代理数学模型,讨论了CN1215型航空专用离心喷头主要工作参数对雾滴体积中径(Dv50)、喷幅的影响规律。标定了离心喷头喷雾参数对应的供液系统工作参数,在室内无风环境下测试了不同喷头流量(100～350 m L/min)、喷头转速(8 000～10 000 r/min)下的雾滴中径及喷幅。以喷头喷雾参数(喷头流量、喷头转速)作为试验因素,以航空离心喷头雾化后雾滴体积中径Dv50、对应喷幅为响应因数,分别采用四阶响应面法(Response surface method,RSM)、克里金法(Kriging)、椭球基神经网络(Ellipsoidal basis function neural network,EBFNN) 3种数学方法逼近试验因素与响应因数之间的关系,建立了喷头雾化参数(Dv50、对应喷幅)与喷头喷雾参数(喷头流量、喷头转速)之间的代理数学模型,3种代理模型对Dv50的决定系数R~2分别为:0. 705、0. 718、0. 925,3种代理模型关于Dv50对应喷幅的决定系数R~2分别为:0. 819、0. 890、0. 930。基于EBFNN隐式代理数学模型建立了两个雾化参数的响应面,实现了喷雾参数影响下的雾滴Dv50、喷幅的快速预测。 相似文献
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