curve fitting freeware

Http://blog.sina.com.cn/s/blog_aed5bd1d0102vid7.html1. Polynomial-fitting Example:ImportMatplotlib.pyplot as PltImportNumPy as Npx= Np.arange (1, 17, 1) y= Np.array ([4.00, 6.40, 8.00, 8.80, 9.22, 9.50, 9.70, 9.86, 10.00, 10.20, 10.32, 10.42, 10.50, 10.55, 10.58, 10.60]) Z1= Np.polyfit (x, Y, 3)#fitting with 3-time polynomialP1 =np.poly1d (z1)Print(p1)#print Fit polynomial on screenYVALS=P1 (x)#You can also

Calculate Smart Jobs two title : Optional Nonlinear classification or curve fitting problem, training and learning with BP network.Optional topics:The data in the following list is the 20-year road traffic volume data for a region, where the attributes "population", "number of vehicles" and "Road area" as input, attribute "road passenger volume" and "road freight" as output. Please fit this multi-input mul

Http://blog.sina.com.cn/s/blog_aed5bd1d0102vid7.htmlWhen you're done with interpolation, it's natural to learn to fit. Refer to Http://wiki.klniu.com/wiki/Python/Modules/Scipy.1. Polynomial-fitting Example:Import Matplotlib.pyplot as PltImport NumPy as NP#潘海东, 2014/1/13x = Np.arange (1, 17, 1)y = Np.array ([4.00, 6.40, 8.00, 8.80, 9.22, 9.50, 9.70, 9.86, 10.00, 10.20, 10.32, 10.42, 10.50, 10.55, 10.58, 10.60])Z1 = Np.polyfit (x, Y, 3) #用3次多项式拟合P1 = np

1. Call Polyfit to have matlab calculate the coefficients of the polynomial that fits the data.y = mx + b, which requires m and B values, we can use a Matlab function called Polyfit (x, y, N), where n is the number of times we want Matlab to find the polynomial, for y = mx + b equation, we set n equal to 1, So the statement that is called will be Polyfit (x, Y, 1).2. You can use the Find command to ask questions about your data.3. Fitting of exponenti

pcf.mInputsamp = (0:0.1:1)';result = sin (2*pi*inputsamp); Gsnoise= Randn ( One,1)*0.1; observation= result +gsnoise;x=(0:0.01:1)';Y=sin (2*pi*x);%{Figure;plot (Inputsamp, observation,'*', X, Y,'--r.');Set(GCA,'Xlim', [-0.2 1.2]);Set(GCA,'Ylim', [-1.5 1.5]);%}%Y = w0+w1*x+w2* (x^2)+... .. theta= Zeros (4,1); Theta=calcparameter (inputsamp,observation, theta);p Redval=calvalue (x, theta); Figure;plot (Inputsamp, observation,'*', X, Y,'--r.', X, Predval,'--g.');Set(GCA,'Xlim', [-0.2 1.2]);Set(GCA,

Enter the experimental data into Excel, two variables of the best two vertical rows. Select all the data and be careful not to select the text too. In the menu bar, click Insert, and then select the Drop-down menu under scatter chart. Choose the type you want from the menu, generally select both the data point and the smooth curve of the scatter plot. The discovery generated graphics, but there are s