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[交流] 【求助】MATLAB錯(cuò)誤

CODE:

function CO2

clc;

x=[10,20,30,40,50,60,70,80,90,100];

y1=[0.011,0.013,0.015,0.022,0.026,0.031,0.031,0.033,0.039,0.045];

y2=[0.011,0.012,0.021,0.024,0.027,0.040,0.042,0.042,0.042,0.049];

y3=[0.012,0.017,0.021,0.032,0.035,0.039,0.040,0.041,0.047,0.053];

y4=[0.011,0.015,0.023,0.027,0.035,0.039,0.042,0.049,0.051,0.055];

plot(x,y1,'gx')

hold on

plot(x,y2,'b*')

hold on

plot(x,y3,'r+')

hold on

plot(x,y4,'mo')

xlabel('total pressure(kpa)');ylabel('adsorption capacity(mmol/g)');

yy1=fit(x',y1','smoothingspline');

yy2=fit(x',y2','smoothingspline');

yy3=fit(x',y3','smoothingspline');

yy4=fit(x',y4','smoothingspline');

plot(x,yy1,'g-');

hold on

plot(x,yy2,'b-')

hold on

plot(x,yy3,'r-')

hold on

plot(x,yy4,'m-')

legend('MCM-41 without APTS','MCM-41 with 15APTS','MCM-41 with 30APTS',...

    'MCM-41 with 45APTS');

hold off

end

為什么此程序運(yùn)行會(huì)出現(xiàn)這個(gè)錯(cuò)誤：
??? Error using ==> diff
Function 'diff' is not supported for class 'cfit'.

Error in ==> cfit.plot at 65
if any(diff(xdata)<0)

Error in ==> CO2 at 20
plot(x,yy1,'g-');

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1樓 2010-12-15 15:49:32

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zyj8119(金幣+19):謝謝提醒！ 2010-12-15 18:25:29
robert2020(金幣+2):多謝應(yīng)助！ 2010-12-16 09:19:36

[quote]Originally posted by zyj8119 at 2010-12-15 15:49:32:

CODE:

function CO2

clc;

x=[10,20,30,40,50,60,70,80,90,100];

y1=[0.011,0.013,0.015,0.022,0.026,0.031,0.031,0.033,0.039,0.045];

y2=[0.011,0.012,0.021,0.024,0.027,0.040,0.042,0.042,0.042,0.049];

 ... [/quote]

[code]

function CO2

clc;

x=[10,20,30,40,50,60,70,80,90,100];

y1=[0.011,0.013,0.015,0.022,0.026,0.031,0.031,0.033,0.039,0.045];

y2=[0.011,0.012,0.021,0.024,0.027,0.040,0.042,0.042,0.042,0.049];

y3=[0.012,0.017,0.021,0.032,0.035,0.039,0.040,0.041,0.047,0.053];

y4=[0.011,0.015,0.023,0.027,0.035,0.039,0.042,0.049,0.051,0.055];

plot(x,y1,'gx')

hold on

plot(x,y2,'b*')

% hold on

plot(x,y3,'r+')

% hold on

plot(x,y4,'mo')

xlabel('total pressure(kpa)');ylabel('adsorption capacity(mmol/g)');

yy1=fit(x',y1','smoothingspline');

yy2=fit(x',y2','smoothingspline');

yy3=fit(x',y3','smoothingspline');

yy4=fit(x',y4','smoothingspline');

% plot(x,yy1,'g-');

% hold on

% plot(x,yy2,'b-')

% hold on

% plot(x,yy3,'r-')

% hold on

% plot(x,yy4,'m-')

plot(yy1,'g-');

plot(yy2,'b-');

plot(yy3,'r-');

plot(yy4,'m-');

legend('MCM-41 without APTS','MCM-41 with 15APTS','MCM-41 with 30APTS',...

    'MCM-41 with 45APTS');

hold off

end

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2樓2010-12-15 17:22:16

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zmc

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robert2020(金幣+3):多謝應(yīng)助！ 2010-12-29 09:05:21

fit 函數(shù)的返回結(jié)果并不是實(shí)數(shù)，而是cfit object cfun，故作圖的時(shí)候會(huì)出錯(cuò)，應(yīng)改為：
function CO2
clc;
x=[10,20,30,40,50,60,70,80,90,100];
y1=[0.011,0.013,0.015,0.022,0.026,0.031,0.031,0.033,0.039,0.045];
y2=[0.011,0.012,0.021,0.024,0.027,0.040,0.042,0.042,0.042,0.049];
y3=[0.012,0.017,0.021,0.032,0.035,0.039,0.040,0.041,0.047,0.053];
y4=[0.011,0.015,0.023,0.027,0.035,0.039,0.042,0.049,0.051,0.055];
plot(x,y1,'gx')
hold on
plot(x,y2,'b*')
hold on
plot(x,y3,'r+')
hold on
plot(x,y4,'mo')
xlabel('total pressure(kpa)');ylabel('adsorption capacity(mmol/g)');
yy1=fit(x',y1','smoothingspline');
yy2=fit(x',y2','smoothingspline');
yy3=fit(x',y3','smoothingspline');
yy4=fit(x',y4','smoothingspline');
plot(yy1,'g-');
hold on
plot(yy2,'b-')
hold on
plot(yy3,'r-')
hold on
plot(yy4,'m-')
legend('MCM-41 without APTS','MCM-41 with 15APTS','MCM-41 with 30APTS',...
'MCM-41 with 45APTS');
hold off
end

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3樓2010-12-19 21:31:56

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zyj8119

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引用回帖:

Originally posted by zmc at 2010-12-19 21:31:56:
fit 函數(shù)的返回結(jié)果并不是實(shí)數(shù)，而是cfit object cfun，故作圖的時(shí)候會(huì)出錯(cuò)，應(yīng)改為：
function CO2
clc;
x=[10,20,30,40,50,60,70,80,90,100];
y1=[0.011,0.013,0.015,0.022,0.026,0.031,0.031,0.033,0.039, ...

謝謝，我想問(wèn)一下，假如是使用別的擬合方式，是不是只要把smoothspline換成需要的就好？

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4樓2010-12-19 21:34:06

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zmc

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★ ★ ★ ★
小木蟲(金幣+0.5):給個(gè)紅包，謝謝回帖交流
robert2020(金幣+3):非常感謝蟲友應(yīng)助！辛苦了！ 2010-12-21 13:08:56

引用回帖:

Originally posted by zyj8119 at 2010-12-19 21:34:06:

謝謝，我想問(wèn)一下，假如是使用別的擬合方式，是不是只要把smoothspline換成需要的就好？

恩對(duì)的，具體的方法可以由cflibhelp得到~  祝你好運(yùn)
For curves:
GROUP          DESCRIPTION
distribution - distribution models such as Weibull
exponential  - exponential function and sum of two exponential functions
fourier    - up to eight terms of fourier series
gaussian    - sum of up to eight gaussian models
power       - power function and sum of two power functions
rational    - rational equation models, up to 5th degree / 5th degree
sin       - sum of up to eight sin functions
spline    - splines
interpolant  - interpolating models
polynomial - polynomial models up to degree nine

For surfaces:
GROUP          DESCRIPTION
interpolant  - interpolating models
polynomial - polynomial models up to degree five
lowess    - lowess smoothing models

To list only the model equations for a group, type CFLIBHELP
followed by the group name.
Example:
cflibhelp polynomial

All models in the Curve Fitting Library:

  DISTRIBUTION MODELS

      MODELNAME          EQUATION

      weibull             Y = a*b*x^(b-1)*exp(-a*x^b)

  EXPONENTIAL MODELS

      MODELNAME          EQUATION

      exp1                Y = a*exp(b*x)
      exp2                Y = a*exp(b*x)+c*exp(d*x)

  FOURIER SERIES

      MODELNAME          EQUATION

      fourier1             Y = a0+a1*cos(x*p)+b1*sin(x*p)
      fourier2             Y = a0+a1*cos(x*p)+b1*sin(x*p)+a2*cos(2*x*p)+b2*sin(2*x*p)
      fourier3             Y = a0+a1*cos(x*p)+b1*sin(x*p)+...+a3*cos(3*x*p)+b3*sin(3*x*p)
      ...
      fourier8             Y = a0+a1*cos(x*p)+b1*sin(x*p)+...+a8*cos(8*x*p)+b8*sin(8*x*p)

   where p = 2*pi/(max(xdata)-min(xdata)).

  GAUSSIAN SUMS (Peak fitting)

      MODELNAME          EQUATION

      gauss1             Y = a1*exp(-((x-b1)/c1)^2)
      gauss2             Y = a1*exp(-((x-b1)/c1)^2)+a2*exp(-((x-b2)/c2)^2)
      gauss3             Y = a1*exp(-((x-b1)/c1)^2)+...+a3*exp(-((x-b3)/c3)^2)
      ...
      gauss8             Y = a1*exp(-((x-b1)/c1)^2)+...+a8*exp(-((x-b8)/c8)^2)

  INTERPOLANT

      INTERPTYPE          DESCRIPTION

Curves & Surfaces:
      linearinterp          linear interpolation
      nearestinterp       nearest neighbor interpolation
      cubicinterp          cubic spline interpolation

Curves Only:
      pchipinterp          shape-preserving (pchip) interpolation

Surfaces Only:
      biharmonicinterp    biharmonic (MATLAB 4 griddata) interpolation

  POLYNOMIAL MODELS

      MODELNAME          EQUATION

Curves:
      poly1             Y = p1*x+p2
      poly2             Y = p1*x^2+p2*x+p3
      poly3             Y = p1*x^3+p2*x^2+...+p4
      ...
      poly9             Y = p1*x^9+p2*x^8+...+p10

Surfaces:

   Model names for polynomial surfaces are 'polyij', where i is the degree in x
   and j is the degree in y. The maximum for both i and j is five. The degree of
   the polynomial is the maximum of i and j. The degree of x in each term will be
   less than or equal to i, and the degree of y in each term will be less than or
   equal to j. For example:

      poly21             Z = p00 + p10*x + p01*y + p20*x^2 + p11*x*y
      poly13             Z = p00 + p10*x + p01*y + p11*x*y + p02*y^2 + p12*x*y^2 + p03*y^3
      poly55             Z = p00 + p10*x + p01*y +...+ p14*x*y^4 + p05*y^5

  POWER MODELS

      MODELNAME          EQUATION

      power1             Y = a*x^b
      power2             Y = a*x^b+c

  RATIONAL MODELS

   Rational Models are polynomials over polynomials with the leading coefficient
   of the denominator set to 1. Model names are 'ratij', where i is the degree of the
   numerator and j is the degree of the denominator. The degrees go up to five for
   both the numerator and the denominator. For example:

      MODELNAME          EQUATION

      rat02             Y = (p1)/(x^2+q1*x+q2)
      rat21             Y = (p1*x^2+p2*x+p3)/(x+q1)
      rat55             Y = (p1*x^5+...+p6)/(x^5+...+q5)

  SUM OF SINE FUNCTIONS

      MODELNAME          EQUATION

      sin1                Y = a1*sin(b1*x+c1)
      sin2                Y = a1*sin(b1*x+c1)+a2*sin(b2*x+c2)
      sin3                Y = a1*sin(b1*x+c1)+...+a3*sin(b3*x+c3)
      ...
      sin8                Y = a1*sin(b1*x+c1)+...+a8*sin(b8*x+c8)

  SPLINES

   Spline models are only supported for curve fitting, not for surface fitting

      SPLINETYPE          DESCRIPTION

      cubicspline          cubic interpolating spline
      smoothingspline       smoothing spline

  LOWESS

   Lowess models are only supported for surface fitting, not for curve fitting

      MODELNAME       DESCRIPTION

      lowess             local linear regression
      loess             local quadratic regression

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5樓2010-12-20 20:56:45

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zyj8119

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引用回帖:

Originally posted by zmc at 2010-12-20 20:56:45:

恩對(duì)的，具體的方法可以由cflibhelp得到~  祝你好運(yùn)
For curves:
GROUP          DESCRIPTION                                  ...

謝謝支持�。。。�

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