代码搜索：simuff
找到约 47 项符合「simuff」的源代码
代码结果 47
www.eeworm.com/read/361503/10049979
h simuff.h
/*
* MATLAB Compiler: 3.0
* Date: Sun May 13 16:47:40 2007
* Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on"
* "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
www.eeworm.com/read/361503/10050010
c simuff.c
/*
* MATLAB Compiler: 3.0
* Date: Sun May 13 16:47:40 2007
* Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on"
* "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
www.eeworm.com/read/467435/7012457
m gafault.m
% 用GA训练BP网络的权值、阈值
tic, % 开始计时
[P,T,R,S1,S2,S]=nninit; % BP网络初始化
aa=ones(S,1)*[-1 1];
popu=60; % 初始种群个数
initPpp=initializega(popu,aa,'gabpEval');
gen=700; % 遗传代数
[x endPop bPop trace]=ga(aa,'gab
www.eeworm.com/read/467435/7012470
asv bpfault.asv
tic, % 开始计时
[P,T,R,S1,S2,S,meanp,stdp,meant,stdt]=nninit; % BP网络初始化
disp_fqre=1000; max_epoch=20000;err_goal=0.00005;lr=0.001;
TP=[disp_fqre max_epoch err_goal lr];
[W1,B1]=rands(S1,R);
[W2,B2
www.eeworm.com/read/467435/7012472
m bpfault.m
tic, % 开始计时
[P,T,R,S1,S2,S,meanp,stdp,meant,stdt]=nninit; % BP网络初始化
disp_fqre=1000; max_epoch=20000;err_goal=0.0001;lr=0.003;
TP=[disp_fqre max_epoch err_goal lr];
[W1,B1]=rands(S1,R);
[W2,B2]
www.eeworm.com/read/198216/7947119
m gafault.m
% 用GA训练BP网络的权值、阈值
tic, % 开始计时
[P,T,R,S1,S2,S]=nninit; % BP网络初始化
aa=ones(S,1)*[-1 1];
popu=60; % 初始种群个数
initPpp=initializega(popu,aa,'gabpEval');
gen=700; % 遗传代数
[x endPop bPop trace]=ga(aa,'gab
www.eeworm.com/read/198216/7947138
asv bpfault.asv
tic, % 开始计时
[P,T,R,S1,S2,S,meanp,stdp,meant,stdt]=nninit; % BP网络初始化
disp_fqre=1000; max_epoch=20000;err_goal=0.00005;lr=0.001;
TP=[disp_fqre max_epoch err_goal lr];
[W1,B1]=rands(S1,R);
[W2,B2
www.eeworm.com/read/198216/7947141
m bpfault.m
tic, % 开始计时
[P,T,R,S1,S2,S,meanp,stdp,meant,stdt]=nninit; % BP网络初始化
disp_fqre=1000; max_epoch=20000;err_goal=0.0001;lr=0.003;
TP=[disp_fqre max_epoch err_goal lr];
[W1,B1]=rands(S1,R);
[W2,B2]
www.eeworm.com/read/152840/12078865
m 仿真程序.m
clf;
figure(1);
clc
Bininput=[7207 7405 7805 8100 8400 8801 9001 9229 9401 9601 9801 10001 10200 10400 10879 11000 11400 11701 12100 12506]/15000;
Toutput=[-1.3 2.4 8.8 12.7 16.3 20.5 22.3 24.4 25
www.eeworm.com/read/369436/9648684
m g4.m
% ***前项网络初始化,<mark>simuff</mark>仿真演示程序***
% 考虑一两层BP神经网络，网络的第一层由4个神经元组成，第二层由2个神经元组成，
% 两输入矢量p定义了输入到网络的最大值和最小值：p＝[0 10；-5 5]
% 两层神经元的传递函数分别为“正切S型函数”和“线性函数”，则其网络的初始权值和阈值可用initff函数产生：
% [w1,b1,w2,b2]=initff([0 10; ...