1、人腦神經數學模型的構建與應用關鍵詞 The mathematical model of simulating brain nervous system established by mathematicalmethod can reveal the relationship between multiple sources in the brain. It can be proved that themodel can generate a variety of new mathematical models. The simulation results clearly show theva

2、rious functions of the brain and the distribution path of neurons, and fully reflect themathematical and biological characteristics of human brain neural function. The application ofhuman brain mathematical model to the processing of artificial intelligence data can be used fortroubleshooting, optim

3、ization, speed calculation and other purposes, and then can be carried out onthe computer. It solves the problem of effective connection between human brain and modernscience and technology, which is of great significance to the research and progress of humanbehavior science.Key words:Neural mathema

4、tical model of human brain; topological graph; artificial intelligence 1-27-1112-182模2圖 2 人腦神經系統拓撲圖 3 x x2) x3) x x x x xx x2) x( x( x(xx( x(2,2,2) x x(2,2,4) xx2 xn) xn) xx2x )nxxn xn,n)，x( ( ( )xxxnx(x( )x nxnxi1 1=x , ).x(i) xx(2)x(n) 2,ix(i,i) n x(i,i) xx(2)x(n) x(i).x ( (x ( )() (2 ,x 1 ) 2 2 (

5、 ( ( )( ) (2) ( )(12)(1 i)(nnxiii) xi,ii,ii,in:nx ii i i i( , , , ii1,為n:i1i1i1,)n ,)n i1i1:ii) ii)(2(1i1i1 ( ): y i i i i1yi) ii)14)(21i1i1ki1i1k0: = 1.3 人腦神經數學模型動態數學公式 V 4 V xiii)/ yiii) xiii) xiii)x(4)14)(24)(3i1i1i1i1n:iki1i1k0,1.4人腦神經數學模型數學邏輯地址x(n,xi,i), ）n,(i,ii,ii,i)xi)。 1.5 人腦神經數學模型的乘法推導公式(

6、, , , yi)n, xi, i i, , , )i ii x kk kk kki1i1k0 A v Av v 14kk0yi)n, xi, i iki1i1 ()() ( , )(, ) (,)(,).Av vyi i i xi i i i i i xk k k k k k xi i i i i ik11011.7人腦神經數學模型數量計算 i 1x nnix ix 1 nn i1由公式（172人腦神經數學模型的應用2.1機器學習網絡數學模型19 6 W WW。圖 6 BP神經網絡結構圖Sijk xw x(i,i)(i,ii,i);；iji1i1ki1i1xx(2b xxx(1b xx(.12) ( )(12k111 2.2深度學習的數學模型imjii1x mmi個神經單元輸出向量， jb jmjifki1i184期。9圖 9腦神經腫瘤治療數學模型圖 10 人腦神經人工智能網