代码搜索:Learning

找到约 5,352 项符合「Learning」的源代码

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www.eeworm.com/read/306702/13739967

m xt.m

%Single Neural Adaptive PID Controller clear all; close all; x=[0,0,0]'; xiteP=0.40; xiteI=0.35; xiteD=0.40; %Initilizing kp,ki and kd wkp_1=0.10; wki_1=0.10; wkd_1=0.10; %wkp_1=rand;
www.eeworm.com/read/304061/13802331

m chapter10_3.m

%Single Neural Adaptive PID Controller clear all; close all; x=[0,0,0]'; xiteP=0.40; xiteI=0.35; xiteD=0.40; %Initilizing kp,ki and kd wkp_1=0.10; wki_1=0.10; wkd_1=0.10; %wkp_1=rand;
www.eeworm.com/read/303073/13822307

m chap4_1.m

%Single Neural Adaptive PID Controller clear all; close all; x=[0,0,0]'; xiteP=0.40; xiteI=0.35; xiteD=0.40; %Initilizing kp,ki and kd wkp_1=0.10; wki_1=0.10; wkd_1=0.10; %wkp_1=rand;
www.eeworm.com/read/299625/6285257

m rncalc.m

function [c,d]=rncalc(xapp,yapp,kernel,kerneloption,lambda,T) % USAGE % % [c,d]=rncalc(xapp,app,kernel,kerneloption,lambda,T); % % % y= K*c+ T*d % calculates the minimizer of
www.eeworm.com/read/120147/6303439

m contents.m

% Neural Network Design Demonstrations. % Copyright (c) 1994 by PWS Publishing Company. % % General % nnd - Splash screen. % nndtoc - Table of contents. % nnsound - Turn Neural Net
www.eeworm.com/read/170695/6344064

net sincos.net

[TRAINING] PATTERN %training method [MINWEIGHTS] -10 %minimum weight value [MAXWEIGHTS] 10 %maximum weight value [PERTURBATION] 20 %maximum weight perturbation [SATURATION] 80 %saturation thre
www.eeworm.com/read/170695/6344077

net xor.net

[TRAINING] QUICKPROP %training method [MINWEIGHTS] -10 %minimum weight value [MAXWEIGHTS] 10 %maximum weight value [PERTURBATION] 5 %maximum weight perturbation [SATURATION] 80 %saturation thr
www.eeworm.com/read/170695/6344079

net security.net

[TRAINING] PATTERN %training method [MINWEIGHTS] -10 %minimum weight value [MAXWEIGHTS] 10 %maximum weight value [PERTURBATION] 20 %maximum weight perturbation [SATURATION] 80 %saturation thre
www.eeworm.com/read/493294/6399864

m ffnc.m

%FFNC Feed-forward neural net classifier back-end % % [W,HIST] = FFNC (ALG,A,UNITS,ITER,W_INI,T,FID) % % INPUT % ALG Training algorithm: 'bpxnc' for back-propagation (default), 'lmnc' %
www.eeworm.com/read/492363/6421850

m chap4_1.m

%Single Neural Adaptive PID Controller clear all; close all; x=[0,0,0]'; xiteP=0.40; xiteI=0.35; xiteD=0.40; %Initilizing kp,ki and kd wkp_1=0.10; wki_1=0.10; wkd_1=0.10; %wkp_1=rand;