显然，有必要把分子繁殖，代谢，脂质边界膜和原生细胞的繁殖都放在一起综合考虑。
Obviously, it is necessary to bring molecular reproduction, metabolism and something like a lipid bounding membrane and reproduction of a protocell together.
本文用双隐层BP人工神经网络建立了丝杆螺母副表面边界膜温度特性的磨损自补偿数学模型。
The BP neural network used in the temperature characteristic of the boundary film on the screw-nut pairs surface in the wear-self-compensation system was established.
该模型可用于准确地预测温度对边界膜强度的影响。并采用L - M规则进行神经网络学习训练可使网络收敛快，误差小。
The network could predict the effects of the temperature on the boundary film strength. the network trained with the L-M rule were quick in convergence and small in error.
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