改進的群體智能算法，簡稱PSO算法，包括C和matlab兩種版本
上傳時間： 2014-01-11
上傳用戶：llandlu
用C++中的MFC編程實現正軸等角割圓柱投影，實現以下要求： 取克拉索夫斯基橢球 (1)制圖區域： Bs=0°, BN=25° LE=105°, LE=125° (2)經緯線間隔： ΔB=ΔL=5° (3)制圖比例尺： 1:M0=1:1000 000 (4)標準緯線： Bk=±15° 計算經緯網格點的 x, y,m,n, p
上傳時間： 2013-12-29
上傳用戶：himbly
加密程序源代碼* A 變成 C，B 變成 D，a 變成 c，b 變成 d，Y 變成 A， * z 變成 b，以此類推。非字母字符不變。
上傳時間： 2013-12-28
上傳用戶：stvnash
功能:編寫的計算皮亞諾相關系數 開發語言:ruby 調用:correlate(x,y) 其中,x,y為需要計算相關度的向量 調用示例: a = [3, 6, 9, 12, 15, 18, 21] b = [1.1, 2.1, 3.4, 4.8, 5.6] c = [1.9, 1.0, 3.9, 3.1, 6.9] c1 = correlate(a,a) # 1.0 c2 = correlate(a,a.reverse) # -1.0 c3 = correlate(b,c) # 0.8221970228 puts c1#,c2,c3
上傳時間： 2013-12-18
上傳用戶：skfreeman
用C語言實現的簡單遺傳算法，在智能控制技術中應用很廣泛。
上傳時間： 2013-12-29
上傳用戶：梧桐
通訊電纜智能防盜報警器--通訊電纜智能防盜報警器安裝在各局的機房內，用于對全塑音頻電纜和高頻電纜的監測報警(包含原理圖和C程序）
上傳時間： 2016-03-26
上傳用戶：daguda
Intro/: Directory containing introductory examples. HelloWorld.c A simple program that draws a box and writes "Hello World" in HelloWorld.f it. data The data file for the introductory progressive example. Lines.c Reads the data from file "data" and plots just the curve with Lines.f no labels, viewport or anything indicating quantity or units. Viewport.c Restricts the graph to a viewport and frames the viewport, Viewport.f leaving the remainder of the area for labels, etc. CharLbls.c Adds labels for the chart title, X-axis title, and Y-axis CharLbls.f title. Tics.c Adds tic marks to the viewport edges, but since clipping was Tics.f not set correctly, tics extend outside the viewport. Clip.c Sets clipping such that tic marks are clipped at the viewport Clip.f boundaries. TicLabels.c Adds numeric tic labels to the graph this is the final TicLabels.f installment of the progressive example.
標簽： introductory HelloWorld containing Directory
上傳時間： 2016-03-29
上傳用戶：exxxds
多項式曲線擬合 任意介數 Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as a template class, using vector<FloatType> parameters. Added a method to handle some EMathError exceptions. If do NOT want to use this just call PolyFit2 directly. usage: Call PolyFit by something like this. CPolyFit<double> PolyFitObj double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A) where X and Y are vectors of doubles which must have the same size and A is a vector of doubles which must be the same size as the number of coefficients required. returns: The correlation coefficient or -1 on failure. produces: A vector (A) which holds the coefficients.
標簽： Least-squares arbitrary Purpose Builder
上傳時間： 2013-12-18
上傳用戶：宋桃子
微粒子群算法的C實現，實現的是基本微粒群算法，微粒群算法是一種基于群智能方法的演化計算技術，本算法實現容易，收斂速度快
標簽： 粒子群算法
上傳時間： 2014-01-10
上傳用戶：時代電子小智
基于智能控制算法神經網絡，結合Matlab工具，實現了神經網絡的七種C語言實現。
上傳時間： 2016-04-29
上傳用戶：youth25
