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找到约 5,352 项符合「Learning」的源代码

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/438605/7729263

m chap6_4s1.m

%Single Neural Net PID Decouple Controller based on Hebb Learning %Algorithm to adjust kp,ki,kd function [sys,x0,str,ts]=exp_pidf(t,x,u,flag) switch flag, case 0 % initializations
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www.eeworm.com/read/399996/7817132

txt preprocessing.txt

ADDC@Number of partitions:@4@S AGHC@Number of partitions, Distance:@[4, 'min']@S BIMSEC@Num of partitions, Nattempts:@[4, 1]@S Competitive_learning@Number of partitions, eta:@[4, .01]@S Determinis
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www.eeworm.com/read/198177/7948548

m unc_n1_sin.m

function [fval]=unc_n1_sin(x) %reference: %note that you can get the formulation of unc_n1_sin from some %aritcles,such as %(1)LN de Castro, FJ Von Zuben 'Learning and optimization using the clona
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www.eeworm.com/read/397099/8069093

txt preprocessing.txt

ADDC@Number of partitions:@4@S AGHC@Number of partitions, Distance:@[4, 'min']@S BIMSEC@Num of partitions, Nattempts:@[4, 1]@S Competitive_learning@Number of partitions, eta:@[4, .01]@S Determinis
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www.eeworm.com/read/333652/12666715

m chap6_4s2.m

%Single Neural Net PID Decouple Controller based on Hebb Learning %Algorithm to adjust kp,ki,kd function [sys,x0,str,ts]=exp_pidf(t,x,u,flag) switch flag, case 0 % initializations
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www.eeworm.com/read/333652/12666731

m chap6_4s1.m

%Single Neural Net PID Decouple Controller based on Hebb Learning %Algorithm to adjust kp,ki,kd function [sys,x0,str,ts]=exp_pidf(t,x,u,flag) switch flag, case 0 % initializations
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www.eeworm.com/read/246998/12693445

m chap6_4s2.m

%Single Neural Net PID Decouple Controller based on Hebb Learning %Algorithm to adjust kp,ki,kd function [sys,x0,str,ts]=exp_pidf(t,x,u,flag) switch flag, case 0 % initializations
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www.eeworm.com/read/246998/12693457

m chap6_4s1.m

%Single Neural Net PID Decouple Controller based on Hebb Learning %Algorithm to adjust kp,ki,kd function [sys,x0,str,ts]=exp_pidf(t,x,u,flag) switch flag, case 0 % initializations
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www.eeworm.com/read/245941/12771247

txt preprocessing.txt

ADDC@Number of partitions:@4@S AGHC@Number of partitions, Distance:@[4, 'min']@S BIMSEC@Num of partitions, Nattempts:@[4, 1]@S Competitive_learning@Number of partitions, eta:@[4, .01]@S Determinis
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www.eeworm.com/read/143733/12847988

m encoder.m

function w = encoder(NINPUTS) % N-2-N Encoder demo, using backpropagation learning. % David S. Touretzky, February, 1996. Revised January 1998. if nargin == 0, NINPUTS = 4; end NPATS = NINPUTS NOU
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