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www.eeworm.com/read/432495/8601935

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;
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www.eeworm.com/read/388422/8610890

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;
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www.eeworm.com/read/431675/8662377

m learnbpm.m

function [dw,db] = learnbpm(p,d,lr,mc,dw,db) %LEARNBPM Backpropagation learning rule with momentum. % % [dW,dB] = LEARNBPM(P,D,LR,MC,dW,dB) % P - RxQ matrix of input vectors. % D - SxQ matrix o
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www.eeworm.com/read/287267/8699043

m exmulticlass1v1margdif.m

% % Example MultiClass SVM Classifiction % "One against One" with Feature Selection % % % close all clear all %-------------------------------------------------- n=50; sigma=1; x1=sigma
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www.eeworm.com/read/386050/8767263

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' %
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www.eeworm.com/read/428269/8880377

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
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www.eeworm.com/read/284777/8899806

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;
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www.eeworm.com/read/377948/9256347

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
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www.eeworm.com/read/377814/9262024

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;
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www.eeworm.com/read/180274/9313899

h aggregating.h

// -*- C++ -*- #ifndef __LEMGA_AGGREGATING_H__ #define __LEMGA_AGGREGATING_H__ /** @file * @brief Declare @link lemga::Aggregating Aggregating@endlink class. * * $Id: aggregating.h 2494 2005-11-
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