三端口四态变量CNN原理在肿瘤生长方程中应用

Applications for Local Activity of Three-Port CNN with Four State Variables to the Equations of Growth of Tumor

提出了一种在抗癌免疫监视下的肿瘤生长细胞神经网络（ＧＩＳＡＣ ＣＮＮ）模型．用具有３个端口４个态变量ＣＮＮ的解析判别法研究了ＧＵＳＡＣ ＣＮＮ的分歧图．数值模拟了癌细胞扩散和清除过程．研究结果似乎表明：效应细胞对癌细胞的清除起着至关重要作用，细胞组织中存在免疫缺陷，可能导致癌细胞的转移与扩散．

A Cellular Nonlinear Network (CNN) model of the growth of tumor and immune surveillance against caner(GLSAC) is proposed. Using the analytical criteria for CNN with four state variables and three ports studies the bifurcation diagrams. Numerical simulations exhibit the processes of diffusing and clearing of cancer cells in organs and complex behaviors of the SISAC CNNs. It seems that the existences of immune surveillance defects in organs may arise the transfering and diffusing of canner cells.