原创 粒子羣優化算法
與GA算法比較 %粒子羣優化 clc,clear all; x=[0:0.01:4]; y=hanshu(x); figure; plot(x,y); hold on W=1; %慣性因子 c1 = 2;
2020-02-24 11:14:14
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原创 正交匹配算法OMP
MP.pdf OMP.pdf malab import numpy as np import math from PIL import Image import matplotlib.pyplot as plt f
2020-02-24 11:14:14
原创 FISTA迭代閾值收縮算法
問題模型： > https://waller-lab.github.io/DiffuserCam/quickstart.html FISTA 去噪
2020-02-24 11:14:14
原创 遺傳算法
% GA_zuiyou clc;clear x=-1:0.01:2; y=2+x.*sin(10*pi*x); plot(x,y,'LineWidth',1.5); hold on %初始化參數 T=100;%仿真代
2020-02-24 11:14:14
原创 C++結構體
#include <iostream> #include <cstring> using namespace std; typedef struct { char title[50]; char author[
2020-02-24 11:14:14
原创 sklearn筆記邏輯迴歸
from sklearn.linear_model import LogisticRegression as LR from sklearn.datasets import load_breast_cancer import nu
2019-08-09 06:45:04
原创 sklearn學習筆記——kmeans
創建數據 from sklearn.datasets import make_blobs x,y=make_blobs(n_samples=1000, centers=5, n_features=2,random_state=2
2019-08-09 06:45:04
原创 sklearn 學習筆記三——數據處理
數據歸一化 import numpy as np from sklearn import preprocessing data=[[-1,2],[-0.5,6],[0,10],[1,18]] import pandas as p
2019-08-08 06:23:05
原创 sklearn學習筆記
決策樹一般採用集成，具有隨機，不純度最優 from sklearn import tree from sklearn.datasets import load_wine from sklearn.model_selection
2019-08-06 05:52:33
原创 sklearn學習筆記二——隨機森林
隨機森林 from sklearn import tree from sklearn.datasets import load_wine from sklearn.model_selection import train_te
2019-08-06 05:52:33
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原创 爬蟲筆記一
教程地址 #測試能否正常下載網頁 import requests url = "https://movie.douban.com/cinema/later/chengdu/" response = requests.get(url
2019-08-01 06:41:03
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原创 圖像配準
1.特徵匹配 讀圖 %%圖像配準 original = imread('cameraman.tif'); imshow(original); 變換 scale = 0.7; J = imresize(original, scal
2019-06-13 01:07:55
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原创 圖像配準求變換矩陣
r=35; points1=detectHarrisFeatures(Eouts(:,:,1)); points2=detectHarrisFeatures(Eouts(:,:,r)); [features1,valid_poi
2019-06-11 15:23:23
原创 線特徵檢測
I=imread('F.png');I=rgb2gray(I); %I=EinRDR.^2; img=double(I); [m,n]=size(img); [Ix,Iy]=gradient(img); %求出圖像的梯度 I
2019-06-11 15:23:23
原创 機器學習實戰-迴歸
分類：標稱型離散數據 迴歸：數值型連續 from numpy import * import matplotlib.pyplot as plt def loadDataSet(fileName): #general fun
2019-03-17 06:29:43