Matlab example of cutting force modeling
Publish: 2021-04-24 00:39:36
1. function yy=model(beta0.X)
=a=beta0(1);< br/ > =b=beta0(2);< br/ > =c=beta0(3);< br/ > =d=beta0(4);< br/ > =e=beta0(5);< br/ > =f=beta0(6);< br/ > < x1=X(:.1);<1 > br/ > < x2=X(:.2);< br/ > < x3=X(:.3);< br/ > < x4=X(:.4);< br/ > < x5=X(:.5);< br/ > < x6=X(:.6);< Well, we're going to have the times times y is the y is the y is the times times times 1 plus y is the times times times times times 2 plus times times times 2 plus c plus times times times 3 plus times times times 4 plus times times times times 5 plus plus x x x x x x x x x x x x x 6 times times times times the times times times times times times times times times times times times the times times times times times times times times times times the times times times times times times times times the times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times 2927.00 6862.00 1273.00 100072.0 43280.00 =496.00 ; < br / / / /.................................................................................................................................................................................................. br/>beta0=[0.50 -0.03 -0.60 0.01 -0.02 0.35]; <50 -0.03 -0.60 0.01 -0.02 0.35 br/>betafit = nlinfit(X,y, ' model ', beta0)
<0.0212 12 12
min0.0230 at 0.0230 30
=a=beta0(1);< br/ > =b=beta0(2);< br/ > =c=beta0(3);< br/ > =d=beta0(4);< br/ > =e=beta0(5);< br/ > =f=beta0(6);< br/ > < x1=X(:.1);<1 > br/ > < x2=X(:.2);< br/ > < x3=X(:.3);< br/ > < x4=X(:.4);< br/ > < x5=X(:.5);< br/ > < x6=X(:.6);< Well, we're going to have the times times y is the y is the y is the times times times 1 plus y is the times times times times times 2 plus times times times 2 plus c plus times times times 3 plus times times times 4 plus times times times times 5 plus plus x x x x x x x x x x x x x 6 times times times times the times times times times times times times times times times times times the times times times times times times times times times times the times times times times times times times times the times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times times 2927.00 6862.00 1273.00 100072.0 43280.00 =496.00 ; < br / / / /.................................................................................................................................................................................................. br/>beta0=[0.50 -0.03 -0.60 0.01 -0.02 0.35]; <50 -0.03 -0.60 0.01 -0.02 0.35 br/>betafit = nlinfit(X,y, ' model ', beta0)
<0.0212 12 12
min0.0230 at 0.0230 30
2. I recommend a website for you: Mathematics China http://www.madio.net
however, you need to simply register, post comments and get points. In this way, you can download things and communicate with others. It's an authoritative mathematical modeling website. I hope it can help you
there is a website in the algorithm http://www.madio.net/forum.php?mod=viewthread&tid=198727
I have downloaded this algorithm and can pass it to you
however, you need to simply register, post comments and get points. In this way, you can download things and communicate with others. It's an authoritative mathematical modeling website. I hope it can help you
there is a website in the algorithm http://www.madio.net/forum.php?mod=viewthread&tid=198727
I have downloaded this algorithm and can pass it to you
3. Linear regression analysis in Statistics: empress (x, y) is very important
4. Specific problems are analyzed in detail. Firstly, Matlab is just a tool; It's up to you to build models, such as specific mathematical formulas. A model can be implemented in countless ways in the face of actual data.
5. Take a look at the computer home
6. Unknown_Error
7. Nbvc mathematical modeling various algorithms matlab programming code
some boat song mud vice task big ball crowded negative friend open island he a lost spirit, he sent me a treasure box full of happiness, open the moment of happiness to you who are watching SMS, wish you and your family happiness forever, happy every day!
some boat song mud vice task big ball crowded negative friend open island he a lost spirit, he sent me a treasure box full of happiness, open the moment of happiness to you who are watching SMS, wish you and your family happiness forever, happy every day!
8. First, establish a mathematical model according to the problem, and then use matlab to solve the problem according to the mathematical model. MATLAB is just a programming tool, just like C, but matlab integrates many programs that have been programmed
9. Of course, mathematical modeling focuses on modeling, not tools
PS, the programming cost of MATLAB is lower than that of C language, so MATLAB is generally used, so that we can have more time to pay attention to the model itself.
PS, the programming cost of MATLAB is lower than that of C language, so MATLAB is generally used, so that we can have more time to pay attention to the model itself.
10. Isn't this a very simple topic? I'm tired of calculation. Don't be so lazy. I have to work hard.
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