柱状图，特殊柱状图，三维柱状图，三维直方图，特殊直方图，直方图工具箱

clc clear close all num = xlsread('5b数据.xlsx'); a = num(2:3,:); figure (3) hold on a4 = 1:3:63; bar(a4,a(1,:),0.2,'w') hold on for ii = 1:21 a1 = a(1,ii); a2 = 0:0.025:a1; a2 = a2'; a3 = ones(length(a2),1); plot([a3.*a4(ii)-0.3 a3.*a4(ii)+0.3 ]',[a2 a2]','k') hold on a1 = []; a2 = []; a2 = []; end hold on bar(2:3:64,a(2,:),0.2,'w') a4 = 2:3:64; hold on for ii = 1:21 a1 = a(2,ii); a2 = [a4(ii)-0.1 a4(ii)+0.1]; a3 = ones(length(a2),1)'; plot([a2' a2']',[zeros(length(a2),1)';a3.*a1],'k') end hold on plot([0 100],[1 1],'k:') set(gca,'XTick',1.5:6:63.5) set(gca,'XTickLabel',{'0%','10%','20%','30%','40%','50%','60%','70%','80%','90%','100%'}) % legend('神经网络','贪婪') xlabel('累积分布概率') ylabel('目标函数与最优值比值') % title('C=500') axis([0 64.5 0.8 1.8]) grid on axes('Position',[0.18,0.54,0.19,0.25]); % 生成子图 bar([2,2],0.1,'w') hold on a2 = 0:0.25:2; a2 = a2'; a3 = ones(length(a2),1); plot([a3-0.04 a3+0.04 ]',[a2 a2]','k') hold on a1 = a(2,ii); a2 = [2-0.015 2+0.015]; a3 = ones(length(a2),1)'; plot([a2' a2']',[zeros(length(a2),1)';a3.*2],'k') axis([0.5 2.5 0 6]) set(gca,'XTick',[]) set(gca,'YTick',[]) text(0.6,3,'神经网络') text(1.8,3,'贪婪') %% clear num = xlsread('5b数据.xlsx'); a = num(8:9,:); figure (4) hold on a4 = 1:3:63; bar(a4,a(1,:),0.2,'w') hold on for ii = 1:21 a1 = a(1,ii); a2 = 0:0.025:a1; a2 = a2'; a3 = ones(length(a2),1); plot([a3.*a4(ii)-0.3 a3.*a4(ii)+0.3 ]',[a2 a2]','k') hold on a1 = []; a2 = []; a2 = []; end hold on bar(2:3:64,a(2,:),0.2,'w') a4 = 2:3:64; hold on for ii = 1:21 a1 = a(2,ii); a2 = [a4(ii)-0.1 a4(ii)+0.1]; a3 = ones(length(a2),1)'; plot([a2' a2']',[zeros(length(a2),1)';a3.*a1],'k') end hold on plot([0 100],[1 1],'k:') set(gca,'XTick',1.5:6:63.5) set(gca,'XTickLabel',{'0%','10%','20%','30%','40%','50%','60%','70%','80%','90%','100%'}) % legend('神经网络','贪婪') xlabel('累积分布概率') ylabel('目标函数与最优值比值') % title('C=500') axis([0 64.5 0.8 2.2]) grid on axes('Position',[0.18,0.54,0.19,0.25]); % 生成子图 bar([2,2],0.1,'w') hold on a2 = 0:0.25:2; a2 = a2'; a3 = ones(length(a2),1); plot([a3-0.04 a3+0.04 ]',[a2 a2]','k') hold on a1 = a(2,ii); a2 = [2-0.015 2+0.015]; a3 = ones(length(a2),1)'; plot([a2' a2']',[zeros(length(a2),1)';a3.*2],'k') axis([0.5 2.5 0 6]) set(gca,'XTick',[]) set(gca,'YTick',[]) text(0.6,4,'神经网络') text(1.8,4,'贪婪') %% %% clear num = xlsread('5b数据.xlsx'); a = num(12:13,:); figure (5) hold on a4 = 1:3:63; bar(a4,a(1,:),0.2,'w') hold on for ii = 1:21 a1 = a(1,ii); a2 = 0:0.025:a1; a2 = a2'; a3 = ones(length(a2),1); plot([a3.*a4(ii)-0.3 a3.*a4(ii)+0.3 ]',[a2 a2]','k') hold on a1 = []; a2 = []; a2 = []; end hold on bar(2:3:64,a(2,:),0.2,'w') a4 = 2:3:64; hold on for ii = 1:21 a1 = a(2,ii); a2 = [a4(ii)-0.1 a4(ii)+0.1]; a3 = ones(length(a2),1)'; plot([a2' a2']',[zeros(length(a2),1)';a3.*a1],'k') end hold on plot([0 100],[1 1],'k:') set(gca,'XTick',1.5:6:63.5) set(gca,'XTickLabel',{'0%','10%','20%','30%','40%','50%','60%','70%','80%','90%','100%'}) % legend('神经网络','贪婪') xlabel('累积分布概率') ylabel('目标函数与最优值比值') % title('C=500') axis([0 64.5 0.8 2.0]) grid on axes('Position',[0.18,0.54,0.19,0.25]); % 生成子图 bar([2,2],0.1,'w') hold on a2 = 0:0.25:2; a2 = a2'; a3 = ones(length(a2),1); plot([a3-0.04 a3+0.04 ]',[a2 a2]','k') hold on a1 = a(2,ii); a2 = [2-0.015 2+0.015]; a3 = ones(length(a2),1)'; plot([a2' a2']',[zeros(length(a2),1)';a3.*2],'k') axis([0.5 2.5 0 6]) set(gca,'XTick',[]) set(gca,'YTick',[]) text(0.6,4,'神经网络') text(1.8,4,'贪婪')