如何用matlab进行数据拟合,在进行数据的估计?Here are two vectors representing the census years from 1810 to 1900 and the corresponding population of a certain country in millions of people:1810 到 1900 年每隔10年人口如下[74.87
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如何用matlab进行数据拟合,在进行数据的估计?Here are two vectors representing the census years from 1810 to 1900 and the corresponding population of a certain country in millions of people:1810 到 1900 年每隔10年人口如下[74.87
如何用matlab进行数据拟合,在进行数据的估计?
Here are two vectors representing the census years from 1810 to 1900 and the corresponding population of a certain country in millions of people:
1810 到 1900 年每隔10年人口如下
[74.875 92.552 107.231 120.153 130.879 152.427 180.383 202.352 227.485 250.597];
Please use MATLAB to estimate the population in 1865,you must hand in your source code and plot the result.
最好有matlab的源代码
如何用matlab进行数据拟合,在进行数据的估计?Here are two vectors representing the census years from 1810 to 1900 and the corresponding population of a certain country in millions of people:1810 到 1900 年每隔10年人口如下[74.87
clear
clf
x=1810:10:1900;
y=[74.875 92.552 107.231 120.153 130.879 152.427 180.383 202.352 227.485 250.597];
plot(x,y,'s','markersize',3)
grid on
%画图并观察离散数据的特性
p=polyfit(x,y,1);
%用1次多项式进行拟合
f = polyval(p,x);
hold on
plot(x,f,'r');
xlabel('年份')
ylabel('人口')
title('拟合曲线')
%在同一个坐标内画出拟合曲线和原有离散数据
p
%显示拟合多项式系数
p1865=polyval(p,[1865])
%估计1865年的人口数量
#################################################################
运行结果：
p =
1.0e+003 *
0.0019 -3.4480
p1865 =
173.3108