在生物学体系中存在着许多非线性特征,非线性生物学体系更常以“黑箱”的形式在效,因此我们只能由体系的输入与输出的关系,来得到有关体系内部结构的信息。利用Wiener的G-函数的展开式及Volterra级数以及输入、输出,我们可以得到生物学体系的非线性特性。在生物学体系中,线性与非线性亚体系以串联或反馈方式相互联结,因此非线性生物学体系的状导即可导出,尤其是当线性与非线性亚体系处于串联及反馈回路中时,Wiener及Volterra的核诺言是适用的,这些状态可构成黑箱特性的算法,我们可以将这些算法应用于计算机模拟 There are many non-linear features in the biological system. Non-linear biological systems are more often used in the form of “black boxes.” Therefore, we can only get the information about the internal structure of the system by the relationship between input and output of the system. Using Wiener’s G-function expansion and Volterra series and input and output, we can get the nonlinear characteristics of the biological system. In biological systems, linear and non-linear sub-systems are linked together in series or feedback, so the derivative of nonlinear biological system can be deduced. Especially when linear and nonlinear sub-systems are in series and feedback loops, Wiener and Volterra’s nuclear promise is applicable, and these states can form algorithms for black-box characteristics that we can apply to computer simulations