850断面.docx
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- 上传时间:2023-05-23
- 格式:DOCX
- 页数:18
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850断面.docx
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850断面
应变1:
x=[1358151617181920343536373839404142434446474748495152];
y=[0.000-96.303-38.248-66.251-89.473-112.012-113.378-96.303-119.525-49.859-144.113-136.881-148.171-131.136-128.525-158.938-142.546-162.956-164.000-147.528-148.653-138.127-135.917-140.778-137.404-151.907-153.193-158.898];
1.对数函数:
y=a+b*log(1+x)
Generalmodel:
f(x)=a+b*log(1+x)
Coefficients(with95%confidencebounds):
a=17.84(-13.46,49.13)
b=-42.78(-52.07,-33.49)
Goodnessoffit:
SSE:
1.016e+004
R-square:
0.775
AdjustedR-square:
0.7663
RMSE:
19.77
2.指数函数:
y=a*exp(-b/x)
Generalmodel:
f(x)=a*exp(-b/x)
Coefficients(with95%confidencebounds):
a=-165.5(-186.1,-144.9)
b=6.527(3.305,9.75)
Goodnessoffit:
SSE:
1.378e+004
R-square:
0.6948
AdjustedR-square:
0.6831
RMSE:
23.02
3.双曲函数:
y=-x/(a+b*x)
Generalmodel:
f(x)=-x/(a+b*x)
Coefficients(with95%confidencebounds):
a=0.07635(0.04072,0.112)
b=0.005121(0.00407,0.006171)
Goodnessoffit:
SSE:
1.063e+004
R-square:
0.7646
AdjustedR-square:
0.7556
RMSE:
20.22
应变2:
x=[1358151617181920343536373839404142434446474748495152];
y=[0.000-95.620-37.565-63.519-88.107-112.012-114.744-97.669-118.159-51.225-135.234-128.002-137.243-122.940-118.280-145.278-129.569-149.296-150.340-132.502-133.627-125.150-121.574-126.435-122.378-132.100-132.703-136.359];
1.对数函数:
y=a+b*log(1+x)
Generalmodel:
f(x)=a+b*log(1+x)
Coefficients(with95%confidencebounds):
a=4.797(-24.93,34.52)
b=-36.01(-44.84,-27.19)
Goodnessoffit:
SSE:
9167
R-square:
0.7301
AdjustedR-square:
0.7197
RMSE:
18.78
2.指数函数:
y=a*exp(-b/x)
Generalmodel:
f(x)=a*exp(-b/x)
Coefficients(with95%confidencebounds):
a=-141.7(-156.7,-126.6)
b=4.32(1.996,6.643)
Goodnessoffit:
SSE:
1.113e+004
R-square:
0.6722
AdjustedR-square:
0.6596
RMSE:
20.69
3.双曲函数:
y=-x/(a+b*x)
Generalmodel:
f(x)=-x/(a+b*x)
Coefficients(with95%confidencebounds):
a=0.05897(0.02752,0.09041)
b=0.006272(0.005247,0.007298)
Goodnessoffit:
SSE:
9502
R-square:
0.7203
AdjustedR-square:
0.7095
RMSE:
19.12
应变3:
x=[1358151617181920343536373839404142434446474748495152];
y=[0.000-102.450-31.418-63.519-94.254-114.744-117.476-90.156-121.574-49.859-137.966-134.149-139.975-127.721-123.061-143.912-135.716-146.564-148.291-138.649-139.091-128.565-121.574-125.069-121.012-138.930-140.216-141.823];
1.对数函数:
y=a+b*log(1+x)
Generalmodel:
f(x)=a+b*log(1+x)
Coefficients(with95%confidencebounds):
a=6.057(-25.98,38.09)
b=-37.06(-46.57,-27.54)
Goodnessoffit:
SSE:
1.065e+004
R-square:
0.7115
AdjustedR-square:
0.7004
RMSE:
20.24
2.指数函数:
y=a*exp(-b/x)
Generalmodel:
f(x)=a*exp(-b/x)
Coefficients(with95%confidencebounds):
a=-145.5(-162.1,-128.9)
b=4.543(1.992,7.094)
Goodnessoffit:
SSE:
1.298e+004
R-square:
0.6483
AdjustedR-square:
0.6348
RMSE:
22.34
3.双曲函数:
y=-x/(a+b*x)
Generalmodel:
f(x)=-x/(a+b*x)
Coefficients(with95%confidencebounds):
a=0.06062(0.02691,0.09432)
b=0.006068(0.004985,0.007151)
Goodnessoffit:
SSE:
1.105e+004
R-square:
0.7005
AdjustedR-square:
0.689
RMSE:
20.62
应变4:
x=[1358151617181920343536373839404142434446474748495152];
y=[0.000-92.205-32.784-58.738-88.790-112.012-114.744-99.718-121.574-54.640-145.479-137.564-148.171-133.868-128.525-157.572-142.546-162.273-163.317-146.162-147.970-139.493-136.600-140.095-137.404-148.492-149.095-155.483];
1.对数函数:
y=a+b*log(1+x)
Generalmodel:
f(x)=a+b*log(1+x)
Coefficients(with95%confidencebounds):
a=20.71(-9.419,50.85)
b=-43.49(-52.44,-34.54)
Goodnessoffit:
SSE:
9421
R-square:
0.7933
AdjustedR-square:
0.7854
RMSE:
19.04
2.指数函数:
y=a*exp(-b/x)
Generalmodel:
f(x)=a*exp(-b/x)
Coefficients(with95%confidencebounds):
a=-168.5(-189.2,-147.9)
b=7.177(3.894,10.46)
Goodnessoffit:
SSE:
1.234e+004
R-square:
0.7293
AdjustedR-square:
0.7189
RMSE:
21.79
3.双曲函数:
y=-x/(a+b*x)
Generalmodel:
f(x)=-x/(a+b*x)
Coefficients(with95%confidencebounds):
a=0.07776(0.04331,0.1122)
b=0.0051(0.004089,0.006112)
Goodnessoffit:
SSE:
9617
R-square:
0.789
AdjustedR-square:
0.7809
RMSE:
19.23
应变5:
x=[1358151617181920343536373839404142434446474748495152];
y=[0.000-103.133-42.346-74.447-108.597-130.453-127.038-111.329-137.966-71.715-158.456-152.590-163.197-146.162-141.502-170.549-153.474-173.884-174.928-157.090-157.532-149.055-144.113-153.755-143.551-156.688-157.974-162.313];
1.对数函数:
y=a+b*log(1+x)
Generalmodel:
f(x)=a+b*log(1+x)
Coefficients(with95%confidencebounds):
a=10.52(-20.15,41.19)
b=-43.96(-53.07,-34.85)
Goodnessoffit:
SSE:
9761
R-square:
0.791
AdjustedR-square:
0.783
RMSE:
19.38
2.指数函数:
y=a*exp(-b/x)
Generalmodel:
f(x)=a*exp(-b/x)
Coefficients(with95%confidencebounds):
a=-170.9(-187.7,-154.2)
b=4.914(2.647,7.18)
Goodnessoffit:
SSE:
1.231e+004
R-square:
0.7364
AdjustedR-square:
0.7263
RMSE:
21.76
3.双曲函数:
y=-x/(a+b*x)
Generalmodel:
f(x)=-x/(a+b*x)
Coefficients(with95%confidencebounds):
a=0.05369(0.02929,0.07809)
b=0.005191(0.004413,0.005968)
Goodnessoffit:
SSE:
1.009e+004
R-square:
0.784
AdjustedR-square:
0.7757
RMSE:
19.7
应变6:
x=[1358151617181920343536373839404142434446474748495152];
y=[0.000-112.695-56.006-91.522-136.600-162.554-159.822-138.649-170.067-94.937-195.338-192.887-198.030-183.044-176.335-205.382-195.137-207.351-208.395-199.436-199.878-185.937-179.629-189.271-178.384-200.400-203.052-203.976];
1.对数函数:
y=a+b*log(1+x)
Generalmodel:
f(x)=a+b*log(1+x)
Coefficients(with95%confidencebounds):
a=17.72(-15.13,50.57)
b=-56.02(-65.78,-46.27)
Goodnessoffit:
SSE:
1.12e+004
R-square:
0.8427
AdjustedR-square:
0.8367
RMSE:
20.75
2.指数函数:
y=a*exp(-b/x)
Generalmodel:
f(x)=a*exp(-b/x)
Coefficients(with95%confidencebounds):
a=-215.4(-234.3,-196.6)
b=5.293(3.205,7.38)
Goodnessoffit:
SSE:
1.452e+004
R-square:
0.7961
AdjustedR-square:
0.7883
RMSE:
23.63
3.双曲函数:
y=-x/(a+b*x)
Generalmodel:
f(x)=-x/(a+b*x)
Coefficients(with95%confidencebounds):
a=0.04474(0.02746,0.06202)
b=0.004124(0.00358,0.004669)
Goodnessoffit:
SSE:
1.154e+004
R-square:
0.8379
AdjustedR-square:
0.8317
RMSE:
21.07
应变7:
x=[1358151617181920343536373839404142434446474748495152];
y=[0.000-114.744-56.689-94.937-143.430-167.335-163.237-144.113-176.214-103.816-202.168-199.034-204.860-191.923-184.531-209.480-201.284-213.498-213.859-202.851-202.610-190.718-181.678-191.320-181.116-202.449-204.418-205.342];
1.对数函数:
y=a+b*log(1+x)
Generalmodel:
f(x)=a+b*log(1+x)
Coefficients(with95%confidencebounds):
a=16.05(-17.05,49.16)
b=-56.85(-66.69,-47.02)
Goodnessoffit:
SSE:
1.137e+004
R-square:
0.8446
AdjustedR-square:
0.8386
RMSE:
20.91
2.指数函数:
y=a*exp(-b/x)
Generalmodel:
f(x)=a*exp(-b/x)
Coefficients(with95%confidencebounds):
a=-219.6(-237.8,-201.4)
b=5.09(3.144,7.037)
Goodnessoffit:
SSE:
1.407e+004
R-square:
0.8077
AdjustedR-square:
0.8003
RMSE:
23.26
3.双曲函数:
y=-x/(a+b*x)
Generalmodel:
f(x)=-x/(a+b*x)
Coefficients(with95%confidencebounds):
a=0.04148(0.0257,0.05726)
b=0.004083(0.003579,0.004588)
Goodnessoffit:
SSE:
1.142e+004
R-square:
0.8439
AdjustedR-square:
0.8379
RMSE:
20.96
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- 850 断面