关于matlab无法调用mapmin解决办法

实用文档关于matlab系列无法调用mapminmax函数的解决方法

matlab7.0/7.1以及以下版本的函数库中没有mapminmax函数，所以编程调用这个函数时会提示未定义该函数，查了写资料，但是网友回答的太不靠谱了，我自己做了下总结，方法如下：

1.matlab升级到7.8或者以上版本，这些版本的matlab中自带有mapminmax函数，可以直接调用。

2.不想升级的话，我们就要自己写mapminmax函数了，这里我提供mapminmax函数的源程序如下：

function[out1,out2]=mapminmax(in1,in2,in3,in4)%MPMINMAXMapmatrixrowminimumandmaximumvaluesto[-11].%

%Syntax

%

%[y,ps]=mapminmax(x,ymin,ymax)

%[y,ps]=mapminmax(x,fp)

%y=mapminmax('apply',x,ps)

%x=mapminmax('reverse',y,ps)

%dx_dy=mapminmax('dx',x,y,ps)

%dx_dy=mapminmax('dx',x,[],ps)

%name=mapminmax('name');

%fp=mapminmax('pdefaults');

%names=mapminmax('pnames');

%mapminmax('pcheck',fp);

%

%Description

%

%MAPMINMAXprocessesmatricesbynormalizingtheminimumandmaximumvalues

%ofeachrowto[YMIN,YMAX].

%

%MAPMINMAX(X,YMIN,YMAX)takesXandoptionalparameters,

%X-NxQmatrixora1xTSrowcellarrayofNxQmatrices.

%YMIN-MinimumvalueforeachrowofY.(Defaultis-1)

%YMAX-MaximumvalueforeachrowofY.(Defaultis+1)

%andreturns,

%Y-EachMxQmatrix(whereM==N)(optional).

%PS-Processsettings,toallowconsistentprocessingofvalues.

%

%MAPMINMAX(X,FP)takesparametersasstruct:FP.ymin,FP.ymax.

%MAPMINMAX('apply',X,PS)returnsY,givenXandsettingsPS.

%MAPMINMAX('reverse',Y,PS)returnsX,givenYandsettingsPS.

%MAPMINMAX('dx',X,Y,PS)returnsMxNxQderivativeofYw/respecttoX.

%MAPMINMAX('dx',X,[],PS)returnsthederivative,lessefficiently.

%MAPMINMAX('name')returnsthenameofthisprocessmethod.

%MAPMINMAX('pdefaults')returnsdefaultprocessparameterstructure.

%MAPMINMAX('pdesc')returnstheprocessparameterdescriptions.

%MAPMINMAX('pcheck',fp)throwsanerrorifanyparameterisillegal.

%

%Examples

%

%Hereishowtoformatamatrixsothattheminimumandmaximum

%valuesofeachrowaremappedtodefaultinterval[-1,+1].

%

%x1=[124;111;322;000]

%[y1,ps]=mapminmax(x1)

%

%Next,weapplythesameprocessingsettingstonewvalues.

%

%x2=[523;111;673;000]

%y2=mapminmax('apply',x2,ps)

%

%Herewereversetheprocessingofy1togetx1again.

%

%x1_again=mapminmax('reverse',y1,ps)

%

%Algorithm

%

%ItisassumedthatXhasonlyfiniterealvalues,andthat

%theelementsofeachrowarenotallequal.

%

%y=(ymax-ymin)*(x-xmin)/(xmax-xmin)+ymin;

%

%SeealsoFIXUNKNOWNS,MAPSTD,PROCESSPCA,REMOVECONSTANTROWS%Copyright1992-2006TheMathWorks,Inc.

%$Revision:$

%Processfunctionboilerplatescript

boiler_process%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Name

functionn=name

n='MapMinimumandMaximum';%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%ParameterDefaults

functionfp=param_defaults(values)iflength(values)>=1,fp.ymin=values{1};elsefp.ymin=-1;end

iflength(values)>=2,fp.ymax=values{2};elsefp.ymax=fp.ymin+2;end%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%ParameterNames

functionnames=param_names()

names={'MininumvalueforeachrowofY.','MaximumvalueforeachrowofY.'};%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%ParameterCheck

functionerr=param_check(fp)mn=fp.ymin;

mx=fp.ymax;

if~isa(mn,'double')||any(size(mn)~=[11])||~isreal(mn)||~isfinite(mn)

err='yminmustbearealscalarvalue.';

elseif~isa(mx,'double')||any(size(mx)~=[11])||~isreal(mx)||~isfinite(mx)||(mx<=mn)

err='ymaxmustbearealscalarvaluegreaterthanymin.';

else

err='';

end%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%NewProcess

function[y,ps]=new_process(x,fp)ifany(any(~isfinite(x)))

error('UseFIXUNKNOWNStoreplaceNaNvaluesinX.');

='mapminmax';

ps.xrows=size(x,1);

ps.yrows=ps.xrows;

ps.xmax=max(x,[],2);

ps.xmin=min(x,[],2);

ps.ymax=fp.ymax;

ps.ymin=fp.ymin;ifany(ps.xmax==ps.xmin)

warning('UseREMOVECONSTANTROWStoremoverowswithconstantvalues.');

endy=apply_process(x,ps);%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%ApplyProcess

functiony=apply_process(x,ps)Q=size(x,2);

oneQ=ones(1,Q);

rangex=ps.xmax-ps.xmin;

rangex(rangex==0)=1;%Avoiddivisionsbyzero

rangey=ps.ymax-ps.ymin;

y=rangey*(x-ps.xmin(:,oneQ))./rangex(:,oneQ)+ps.ymin;%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%ReverseProcess

functionx=reverse_process(y,ps)Q=size(y,2);

oneQ=ones(1,Q);

rangex=ps.xmax-ps.xmin;

rangey=ps.ymax-ps.ymin;

x=rangex(:,oneQ).*(y-ps.ymin)*(1/rangey)+ps.xmin(:,oneQ);%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%DerivativeofYw/respecttoX

functiondy_dx=derivative(x,y,ps);Q=size(x,2);

rangex=ps.xmax-ps.xmin;

rangey=ps.ymax-ps.ymin;

d=diag(rangey./rangex);

dy_dx=d(:,:,ones(1,Q));

复制以上代码，在matlab中生成M文件，文件名取为mapminmax.m,然后放到currentDirectory路径中的work文件夹里面（这是我的工作空间），你们也可以放到自己的工作空间文件夹里面，这还没完，编译程序是还会提示木有boiler_process函数的提示，boiler_process函数源程序如下：%PROCESSFUNCTIONBOILERPLATECODE%Copyright2005-2007TheMathWorks,Inc.%TODO-AddsizecheckingforXandYif(nargin<1),error('NNET:Arguments','Notenougharguments.');endifisstr(in1)

switchlower(in1)

case'name',

ifnargin>1,error('NNET:Arguments','Toomanyinputargumentsfor''name''action'),end

if(nargout>1),error('NNET:Arguments','Toomanyoutputargumentsfor''name''action'),end

out1=name;

case'pdefaults'

ifnargin>2,error('NNET:Arguments','Toomanyinputargumentsfor''pdefaults''action'),end

ifnargin<2,in2={};end

if(nargout>1),error('NNET:Arguments','Toomanyoutputargumentsfor''pdefaults''action'),end

out1=param_defaults(in2);

case'pnames'

ifnargin>1,error('NNET:Arguments','Toomanyinputargumentsfor''pnames''action'),end

if(nargout>1),error('NNET:Arguments','Toomanyoutputargumentsfor''pnames''action'),end

out1=param_names;

case'pcheck'

if(nargin<2),error('NNET:Arguments','Notenoughinputargumentsfor''pcheck''action'),end

ifnargin>2,error('NNET:Arguments','Toomanyinputargumentsfor''pcheck''action'),end

if(nargout>1),error('NNET:Arguments','Toomanyoutputargumentsfor''pcheck''action'),end

if~isa(in2,'struct'),error('NNET:Arguments','Parametersarenotastruct.');end

names1=fieldnames(param_defaults({}));

names2=fieldnames(in2);

iflength(names1)~=length(names2),error('NNET:Arguments','Incorrectnumberofparameters.');end

names1=sort(names1);

names2=sort(names2);

fori=1:length(names1)

if~strcmp(names1{i},names2{i}),error('NNET:Arguments',['Parameterfieldnameisnotcorrect:'names2{i}]);end

end

out1=param_check(in2);

if(nargout==0)&&~isempty(out1)

error('NNET:Arguments',out1);

end

case'apply'

if(nargin<3),error('NNET:Arguments','Notenoughinputargumentsfor''apply''action.');end

if(nargin>3),error('NNET:Arguments','Toomanyinputargumentsfor''apply''action'),end

if(nargout>1),error('NNET:Arguments','Toomanyoutputargumentsfor''apply''action'),end

c=iscell(in2);

ifc

if(size(in2,1)~=1)

error('NNET:Arguments','CellarrayXmusthaveonlyonerow')

end

cols=size(in2,2);

colSizes=zeros(1,cols);

fori=1:cols

colSizes(i)=size(in2{1,i},2);

end

in2=cell2mat(in2);

elseif~isa(in2,'double')

error('NNET:Arguments','Xmustbeamatrixorarowcellarray')

end

out1=apply_process(in2,in3);

ifc

out1=mat2cell(out1,size(out1,1),colSizes);

end

case'reverse'

if(nargin<3),error('NNET:Arguments','Notenoughinputargumentsfor''reverse''action.');end

if(nargin>3),error('NNET:Arguments','Toomanyinputargumentsfor''reverse''action'),end

if(nargout>1),error('NNET:Arguments','Toomanyoutputargumentsfor''reverse''action'),end

c=iscell(in2);

ifc

if(size(in2,1)~=1)

error('NNET:Arguments','CellarrayXmusthaveonlyonerow')

end

cols=size(in2,2);

colSizes=zeros(1,cols);

fori=1:cols,colSizes(i)=size(in2{1,i},2);end

in2=cell2mat(in2);

elseif~(isnumeric(in2)||islogical(in2))

error('NNET:Arguments','Ymustbeamatrixorarowcellarray')

end

out1=reverse_process(in2,in3);

ifc

out1=mat2cell(out1,size(out1,1),colSizes);

end

out2=in3;

case'dx'

if(nargin<4),error('NNET:Arguments','Notenoughinputargumentsfor''dx''action.');end

if(nargout>1),error('NNET:Arguments','Toomanyoutputargumentsfor''dx''action'),end

ifisempty(in3)

in3=apply_process(in2,in4);

end

out1=derivative(in2,in3,in4);

case'dx_dy'

if(nargin<4),error('NNET:Arguments','Notenoughinputargumentsfor''dx''action.');end

if(nargout>1),error('NNET:Arguments','Toomanyoutputargumentsfor''dx''action'),end

ifisempty(in3)

in3=apply_process(in2,in4);

end

out1=reverse_derivative(in2,in3,in4);

case'simulink_params'

out1=simulink_params(in2);

case'simulink_reverse_params'

out1=simulink_reverse_params(in2);

otherwise

error('NNET:Arguments',['Firstargumentisanunrecognizedactionstring:'in1]);

end

return

endif(nargin<2)

in2=param_defaults({});

elseifisa(in2,'struct')

if(nargin>2)