基于概率神經(jīng)網(wǎng)絡(luò)的道路擁堵判別本科畢業(yè)設(shè)計-在線瀏覽
2024-08-03 18:54本頁面
【正文】 ]39。Y=sim(net,P)Yc=vec2ind(Y)toc。Y2=sim(net,P2)Yc2=vec2ind(Y2) 仿真過程數(shù)據(jù)基于概率神經(jīng)網(wǎng)絡(luò)的道路擁堵判別系統(tǒng)仿真的所有過程數(shù)據(jù)如表4表4表4表4表4表47所示：表42 仿真過程數(shù)據(jù)表（1）P=Columns 1 through 8Columns 9 through 16Columns 17 through 24Columns 25 through 32Columns 33 through 40Columns 41 through 48Columns 49 through 56Columns 57 through 64Columns 65 through 72Columns 73 through 80Columns 81 through 88Columns 89 through 96Columns 97 through 100表43 仿真過程數(shù)據(jù)表（2）Tc = Columns 1 through 14 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 15 through 28 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 29 through 42 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Columns 43 through 56 1 1 1 1 1 1 1 1 2 2 2 2 2 2 Columns 57 through 70 2 2 2 2 2 2 2 2 2 2 2 2 2 2 Columns 71 through 84 2 2 2 2 2 2 2 2 2 2 2 2 2 2 Columns 85 through 98 2 2 2 2 2 2 2 2 2 2 2 2 2 2 Columns 99 through 100 2 2表44 仿真過程數(shù)據(jù)表（3）T = (1,1) 1 (1,2) 1 (1,3) 1 (1,4) 1 (1,5) 1 (1,6) 1 (1,7) 1 (1,8) 1 (1,9) 1 (1,10) 1 (1,11) 1 (1,12) 1 (1,13) 1 (1,14) 1 (1,15) 1 (1,16) 1 (1,17) 1 (1,18) 1 (1,19) 1 (1,20) 1 (1,21) 1 (1,22) 1 (1,23) 1 (1,24) 1 (1,25) 1(1,26) 1 (1,27) 1 (1,28) 1 (1,29) 1 (1,30) 1 (1,31) 1 (1,32) 1 (1,33) 1 (1,34) 1 (1,35) 1 (1,36) 1 (1,37) 1 (1,38) 1 (1,39) 1 (1,40) 1 (1,41) 1 (1,42) 1 (1,43) 1 (1,44) 1 (1,45) 1 (1,46) 1 (1,47) 1 (1,48) 1 (1,49) 1 (1,50)
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