轉:https://blog.csdn.net/c914620529/article/details/50393238/
高斯擬合(Gaussian Fitting)即使用形如:
Gi(x)=Ai*exp((x-Bi)^2/Ci^2)
的高斯函數對數據點集進行函數逼近的擬合方法。
其實可以跟多項式擬合類比起來,不同的是多項式擬合是用冪函數系,
而高斯擬合是用高斯函數系。
使用高斯函數來進行擬合,優點在於計算積分十分簡單快捷。這一點
在很多領域都有應用,特別是計算化學。著名的化學軟件Gaussian98
就是建立在高斯基函數擬合的數學基礎上的。
c#中用math.net 進行矩陣運算 實現方案
double[,] a = new double[fitDatas.Count, 3]; double[] b = new double[fitDatas.Count]; double[] X = new double[3] { 0, 0, 0 }; for (int i = 0; i < fitDatas.Count; i++) { b[i] = Math.Log(fitDatas[i].Intensity); a[i, 0] = 1; a[i, 1] = fitDatas[i].WaveLength; a[i, 2] = a[i, 1] * a[i, 1]; } // Matrix.Equation(datas.Count, 3, a, b, X); MathNet.Numerics.LinearAlgebra.Matrix matrixA = new MathNet.Numerics.LinearAlgebra.Matrix(a); MathNet.Numerics.LinearAlgebra.Matrix matrixB = new MathNet.Numerics.LinearAlgebra.Matrix(b, b.Length); MathNet.Numerics.LinearAlgebra.Matrix matrixC = matrixA.Solve(matrixB); X = matrixC.GetColumnVector(0); double S = -1 / X[2]; double xMax = X[1] * S / 2.0; double yMax = Math.Exp(X[0] + xMax * xMax / S);
運用c++實現方案
#include<iostream.h> #include<math.h> #include<stdlib.h> #include <windows.h> double f(int n,double x){ //f(n,x)用來返回x的n次方 double y=1.0; if(n==0)return 1.0; else{ for(int i=0;i<n;i++)y*=x; return y; } } int xianxingfangchengzu(double **a,int n,double *b,double *p,double dt)//用高斯列主元法來求解法方程組 { int i,j,k,l; double c,t; for(k=1;k<=n;k++) { c=0.0; for(i=k;i<=n;i++) if(fabs(a[i-1][k-1])>fabs(c)) { c=a[i-1][k-1]; l=i; }if(fabs(c)<=dt) return(0); if(l!=k) { for(j=k;j<=n;j++) { t=a[k-1][j-1]; a[k-1][j-1]=a[l-1][j-1]; a[l-1][j-1]=t; } t=b[k-1]; b[k-1]=b[l-1]; b[l-1]=t; } c=1/c; for(j=k+1;j<=n;j++) { a[k-1][j-1]=a[k-1][j-1]*c; for(i=k+1;i<=n;i++) a[i-1][j-1]-=a[i-1][k-1]*a[k-1][j-1]; } b[k-1]*=c; for(i=k+1;i<=n;i++) b[i-1]-=b[k-1]*a[i-1][k-1]; } for(i=n;i>=1;i--) for(j=i+1;j<=n;j++) b[i-1]-=b[j-1]*a[i-1][j-1]; cout.precision(12); for(i=0;i<n;i++)p[i]=b[i]; } double** create(int a,int b)//動態生成數組 { double **P=new double *[a]; for(int i=0;i<b;i++) P[i]=new double[b]; return P; } void zuixiaoerchengnihe(double x[],double y[],int n,double a[],int m) { int i,j,k,l; double **A,*B; A=create(m,m); B=new double[m]; for(i=0;i<m;i++) for(j=0;j<m;j++)A[i][j]=0.0; for(k=0;k<m;k++) for(l=0;l<m;l++) for(j=0;j<n;j++)A[k][l]+=f(k,x[j])*f(l,x[j]);//計算法方程組系數矩陣A[k][l] cout<<"法方程組的系數矩陣為:"<<endl; for(i=0;i<m;i++) for(j=0,k=1;j<m;j++,k++){ cout<<A[i][j]<<'\t'; if(k&&k%m==0)cout<<endl; } for(i=0;i<m;i++)B[i]=0.0; for(i=0;i<m;i++) for(j=0;j<n;j++)B[i]+=y[j]*f(i,x[j]); for(i=0;i<m;i++)cout<<"B["<<i<<"]="<<B[i]<<endl;//記錄B[n] xianxingfangchengzu(A,m,B,a,1e-6); delete[]A; delete B; } double pingfangwucha(double x[],double y[],int n,double a[],int m)//計算最小二乘解的平方誤差 { double deta,q=0.0,r=0.0; int i,j; double *B; B=new double[m]; for(i=0;i<m;i++)B[i]=0.0; for(i=0;i<m;i++) for(j=0;j<n;j++)B[i]+=y[j]*f(i,x[j]); for(i=0;i<n;i++)q+=y[i]*y[i]; for(j=0;j<m;j++)r+=a[j]*B[j]; deta=fabs(q-r); return deta; delete B; } void main(void){ int i,n,m; double *x,*y,*a; char ch='y'; do{ system("cls"); cout<<"請輸入所給擬合數據點的個數n="; cin>>n; cout<<"請輸入所要擬合多項式的項數m="; cin>>m; while(n<=m){ cout<<"你所輸入的數據點無法確定擬合項數,請重新輸入"<<endl; Sleep(1000); system("cls"); cout<<"請輸入所給擬合數據點的個數n="; cin>>n; cout<<"請輸入所要擬合多項式的項數m="; cin>>m; } x=new double[n]; //存放數據點x y=new double[n]; //存放數據點y a=new double[m]; //存放擬合多項式的系數 cout<<"請輸入所給定的"<<n<<"個數據x"<<endl; for(i=0;i<n;i++) { cout<<"x["<<i+1<<"]="; cin>>x[i]; } cout<<"請輸入所給定的"<<n<<"個數據y"<<endl; for(i=0;i<n;i++) { cout<<"y["<<i+1<<"]="; cin>>y[i]; } zuixiaoerchengnihe(x,y,n,a,m+1); cout<<endl; cout<<"擬合多項式的系數為:"<<endl; for(i=0;i<=m;i++)cout<<"a["<<i<<"]="<<a[i]<<'\t'; cout<<endl; cout<<"平方誤差為:"<<pingfangwucha(x,y,n,a,m+1)<<endl; delete x; delete y; cout<<"按y繼續,按其他字符退出"<<endl; cin>>ch; }while(ch=='y'||ch=='Y');
參考資料:https://wenku.baidu.com/view/297f4f5da100a6c30c22590102020740be1ecd09.html