基于人工神经网络的类噪声环境声音声学识别（Matlab代码实现）

% Plot Hidden layers
clear;
Range = [8:29];
FitType1 = 'poly2';
load('./ResultPoints');
Scale = 1;
Points = TrainingNumArray(Range);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Confusion matrix transformation
%
%Predicted
    %Cricket:
        %it is turned out to be a cricket
        CvrcakCvrcak = ConfuctionMatrixSum(Range*3-2,1);
        %it is turned out to be a fly
        CvrcakMuva = ConfuctionMatrixSum(Range*3-1,1);
        %it is turned out to be a confusion sound
        CvrcakZbunj = ConfuctionMatrixSum(Range*3,1);
    %Fly:
        %it is turned out to be a cricket
        MuvaCvrcak = ConfuctionMatrixSum(Range*3-2,2);
        %it is turned out to be a fly
        MuvaMuva = ConfuctionMatrixSum(Range*3-1,2);
        %it is turned out to be a confusion sound
        MuvaZbunj = ConfuctionMatrixSum(Range*3,2);
    %Other:
        %it is turned out to be a cricket
        ZbunjCvrcak = ConfuctionMatrixSum(Range*3-2,3);
        %it is turned out to be a fly
        ZbunjMuva = ConfuctionMatrixSum(Range*3-1,3);
        %it is turned out to be a confusion sound
        ZbunjZbunj = ConfuctionMatrixSum(Range*3,3);
        %Predicted in Total
        CvrcakUkupno = CvrcakCvrcak + CvrcakMuva+CvrcakZbunj;
        MuvaUkupno = MuvaCvrcak + MuvaMuva+MuvaZbunj;
        ZbunjUkupno = ZbunjCvrcak + ZbunjMuva + ZbunjZbunj;
        CvrcakPredvidjeno = CvrcakCvrcak./CvrcakUkupno/Scale*100;
        MuvaPredvidjeno = MuvaMuva./MuvaUkupno/Scale*100;
        ZbunjPredvidjeno = ZbunjZbunj./ZbunjUkupno/Scale*100;
        %Realized in Total
        UkupnoCvrcak = CvrcakCvrcak + MuvaCvrcak + ZbunjCvrcak;
        UkupnoMuva = CvrcakMuva + MuvaMuva + ZbunjMuva;
        UkupnoZbunj = CvrcakZbunj + MuvaZbunj + ZbunjZbunj;
        CvrcakOstvareno = CvrcakCvrcak./UkupnoCvrcak/Scale*100;
        MuvaOstvareno = MuvaMuva./UkupnoMuva/Scale*100;
        ZbunjOstvareno = ZbunjZbunj./UkupnoZbunj/Scale*100;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   EtrainingFit = fit(Range',EtrainingSum(Range),FitType1);
   EtestingFit = fit(Range',EtestingSum(Range),FitType1); 
   figure(1)
    hold on
    set(gca,'FontSize',14)
    %xlim([-1 Length-StartPoint+1])
    h1 = plot(EtrainingFit,'b',Range,EtrainingSum(Range),'b.');
    h2 = plot(EtestingFit,'r',Range,EtestingSum(Range),'r.'); 
    set(h1,'linewidth',2);
    set(h2,'linewidth',2);
    grid on
    set(gcf,'PaperUnits','inches','PaperPosition',[0 0 9.4 6.6])
    set(gcf,'Color',[1 1 1]);
    set(gca, 'XTick',[14 29]);
    set(gca, 'XTickLabel',{'100','1000'});
    leg = legend('Training Recorded','Training Approximation','Testing Recorded','Testing Approximation');
    legend('Location','northeast');
    xlim ([Range(1)-1 Range(end)+1])
   ylim ([0.0 0.3])
    xlabel('Number of Training Ponts');
    ylabel('Mean Squared Error');
    print(gcf,'-dtiff','-r1000','./Fig_8')
    figure(2)
    hold on
     set(gca,'FontSize',14)
    h3 = plot(Range,CvrcakPredvidjeno,'ro');
    h4 = plot(Range,CvrcakOstvareno,'rx');
    h5 = plot(Range,MuvaPredvidjeno,'bo');
    h6 = plot(Range,MuvaOstvareno,'bx');
    h7 = plot(Range,ZbunjPredvidjeno,'go');
    h8 = plot(Range,ZbunjOstvareno,'gx');
    set(gca,'FontSize',14)
    set(h3,'linewidth',2);
    set(h4,'linewidth',2);
    set(h5,'linewidth',2);
    set(h6,'linewidth',2);
    set(h7,'linewidth',2);
    set(h8,'linewidth',2);
    set(h3,'markers',8);
    set(h4,'markers',10);
    set(h5,'markers',8);
    set(h6,'markers',10);
    set(h7,'markers',8);
    set(h8,'markers',10);
    grid on
    set(gcf,'Color',[1 1 1]);
    set(gca, 'XTick',[14 29]);
    set(gca, 'XTickLabel',{'100','1000'});
    leg = legend('Cricket Recognized','Cricket Target','Fly Recognized','Fly Target','Confusing Recognized','Confusing Target');
    set(leg, 'Location', 'southeast')
    set(gcf,'PaperUnits','inches','PaperPosition',[0 0 9.4 6.6])
    xlim ([Range(1)-1 Range(end)+1])
    ylim ([40 110])
    xlabel('Number of Training Ponts');
    ylabel('Succes(%)');
   print(gcf,'-dtiff','-r1000','./Fig_9')