代码搜索：Approach

找到约 1,300 项符合「Approach」的源代码

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m traffic2.m

function traffic2(n,t) % This is a program for "a quasi-automaton approach to % traffic2 modeling " Example: traffic2(100,8,6); % n是进站前的公路的格数 % t是tollbooth的数量参数 if nargin==0
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www.eeworm.com/read/130466/14192644

readme

M.Barni, F. Bartolini, V. Cappellini, A. Piva. "A DCT-Domain System for Robust Image Watermarking", Signal Processing, vol.66, pp 357-372, 1998. V. Fotopoulos, A.N. Skodras, "A Subband DCT approach t
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www.eeworm.com/read/437681/7743091

m gallager_gen_ldpc.m

function [H,rows,cols] = Gallager_gen_LDPC(miu,wr,wc) % Code for generating regular parity-check matrix H by miu,wc,wr,using Gallager's approach % 通过参数miu,wc,wr生成规则LDPC校验矩阵H，使用Gallager的办法 % Copyrig
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www.eeworm.com/read/221024/14762633

html http:^^www.deas.harvard.edu^cs^academics^courses^cs143^cs143.html

Date: Wed, 20 Nov 1996 22:24:44 GMT Server: NCSA/1.5 Content-type: text/html Last-modified: Fri, 15 Nov 1996 17:56:43 GMT Content-length: 2473 CS143: Networks: A Systems Approach C
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www.eeworm.com/read/317538/13502696

m synnpath061028.m

function main() %算法来源于A neural-network approach to Real-time trajectory generation N=50; %栅格数 E=100; A=10; B=1; D=1; axis([0,1,0,1]) axis on XX=[1/N:1/N:1]; YY=[1/N:1/N:1]; H
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www.eeworm.com/read/317538/13502706

asv synnpath061028.asv

function main() %算法来源于A neural-network approach to Real-time trajectory generation N=50; %栅格数 E=50; A=10; B=1; D=1; axis([0,1,0,1]) axis on XX=[1/N:1/N:1]; YY=[1/N:1/N:1]; Ha
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www.eeworm.com/read/38039/1089894

mnu chgdist.mnu

CLEAR#DIST 间隙距离 # Appr#Dist 进刀距离 Adjust the approach distance to the entered value. 调整进刀距离为输入值。 Pull#Out#Dist 拉出距离 Adjust the pull out distance to the entered value. 调整拉出距离为输入值。 Avoid#Surf 避免曲面 Adjus
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www.eeworm.com/read/147789/12520137

db fence1.ans.db

RunCounter Length Width Area Perimeter Objective Penalty ObjectiveAndPenalty Phase Feasibility Rules Control Approach Analysis Internal Technique TechniqueData 18N 18N 18N 18N 18N 18N 18N 18N 18N 18N
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www.eeworm.com/read/248400/12579237

m adamslpr.m

function [h,L2E,mL2,it,cs] = adamslpr(n,up,lo,wp,ws,K,L) % [h,L2E,mL2,it,cs] = adamslpr(n,up,lo,wp,ws,K,L) % An implementation of Adams' approach to constrained weighted % L2 Low Pass FIR filter de
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www.eeworm.com/read/367675/2834767

txt 94.txt

发信人: fervvac (高远), 信区: DataMining 标 题: Re: 对大的数据集的处理？ 发信站: 南京大学小百合站 (Wed Dec 26 14:48:48 2001), 站内信件 I know some paper uses the following approach: Divide the data into 10 parts, train your cla
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