VATECH 허승현 CURVE FITTING(08.01.28).

Presentation on theme: "VATECH 허승현 CURVE FITTING(08.01.28)."— Presentation transcript:

1 VATECH 허승현 CURVE FITTING( )

2 PROBLEM XLS DATA MATLAB X->Y , Y->X 변환.
Curve Fitting ToolBox v1.0 이용 X가 0인 지점에서 음수가 아닌 수 식을 찾는다.

3 PROBLEM 해석 Linear model Poly9 X = 0.1 인 지점에서의 값 :

4 Solve1 해석 1st data = 0 두고 Linear model Poly9 X=0.09 에서의 값

5 Solve2 해석 완전한 볼 팬텀

6 Solve2 해석 완전한 볼 팬텀 Curve Fitting.

7 Solve3 해석 영점에 접하고 미분 가능한 Curve fitting 수식을 찾는다.

8 Solve3 해석 3 Order CFit_1(x) = a*x+b*x^2+c*x^3 Coefficients (with 95% confidence bounds): a = e-011 ( , ) b = (0.0566, ) c = e-014 ( , )

9 Solve3 해석 4 Order CFit_2(x) = a*x+b*x^2+c*x^3+d*x^4 Coefficients (with 95% confidence bounds): a = e-010 ( , ) b = ( , ) c = e-013 (-1.609e-005, 1.609e-005) d = e-005 (5.898e-005, 6.025e-005)

10 Solve3 해석 5 Order CFit_3(x) = a*x+b*x^2+c*x^3+d*x^4+e*x^5 Coefficients (with 95% confidence bounds): a = e-009 ( , ) b = ( , ) c = e-012 (-9.271e-005, 9.271e-005) d = e-005 (5.898e-005, 6.025e-005) e = e-015 (-5.55e-008, 5.55e-008)

11 Solve3 해석 5 Order CFit_4(x) = a*x+b*x^2+c*x^3+d*x^4+e*x^5+f*x^6 Coefficients (with 95% confidence bounds): a = (0.1341, ) b = ( , ) c = ( , ) d = e-006 (5.029e-006, 8.152e-006) e = e-007 (1.65e-007, 2.043e-007) f = e-008 (2.887e-008, 3.061e-008)

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