Applications for Local Activity of Three-Port CNN with Four State Variables to the Equations of Growth of Tumor
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摘要: 提出了一種在抗癌免疫監視下的腫瘤生長細胞神經網絡(GISAC CNN)模型.用具有3個端口4個態變量CNN的解析判別法研究了GUSAC CNN的分歧圖.數值模擬了癌細胞擴散和清除過程.研究結果似乎表明:效應細胞對癌細胞的清除起著至關重要作用,細胞組織中存在免疫缺陷,可能導致癌細胞的轉移與擴散.Abstract: 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.
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