代码搜索：持续激励
找到约 600 项符合「持续激励」的源代码
代码结果 600
www.eeworm.com/read/326645/13128501
frm pβ_bp.frm
VERSION 5.00
Object = "{F9043C88-F6F2-101A-A3C9-08002B2F49FB}#1.2#0"; "COMDLG32.OCX"
Begin VB.Form Pβ_BP
Caption = "ＢＰ神经网络实验平台－输出幅值可调Ｓ型激励函数"
ClientHeight = 8310
ClientLef
www.eeworm.com/read/326645/13128520
frm atn_bp.frm
VERSION 5.00
Object = "{F9043C88-F6F2-101A-A3C9-08002B2F49FB}#1.2#0"; "COMDLG32.OCX"
Begin VB.Form ATN_BP
Caption = "ＢＰ神经网络实验平台－输出幅值可调ＡＴＮ激励函数"
ClientHeight = 8310
ClientL
www.eeworm.com/read/138666/13226548
frm pβ_bp.frm
VERSION 5.00
Object = "{F9043C88-F6F2-101A-A3C9-08002B2F49FB}#1.2#0"; "COMDLG32.OCX"
Begin VB.Form Pβ_BP
Caption = "ＢＰ神经网络实验平台－输出幅值可调Ｓ型激励函数"
ClientHeight = 8310
ClientLef
www.eeworm.com/read/138666/13226556
frm atn_bp.frm
VERSION 5.00
Object = "{F9043C88-F6F2-101A-A3C9-08002B2F49FB}#1.2#0"; "COMDLG32.OCX"
Begin VB.Form ATN_BP
Caption = "ＢＰ神经网络实验平台－输出幅值可调ＡＴＮ激励函数"
ClientHeight = 8310
ClientL
www.eeworm.com/read/491682/6433003
frm pβ_bp.frm
VERSION 5.00
Object = "{F9043C88-F6F2-101A-A3C9-08002B2F49FB}#1.2#0"; "COMDLG32.OCX"
Begin VB.Form Pβ_BP
Caption = "ＢＰ神经网络实验平台－输出幅值可调Ｓ型激励函数"
ClientHeight = 8310
ClientLef
www.eeworm.com/read/491682/6433010
frm atn_bp.frm
VERSION 5.00
Object = "{F9043C88-F6F2-101A-A3C9-08002B2F49FB}#1.2#0"; "COMDLG32.OCX"
Begin VB.Form ATN_BP
Caption = "ＢＰ神经网络实验平台－输出幅值可调ＡＴＮ激励函数"
ClientHeight = 8310
ClientL
www.eeworm.com/read/490407/6455977
m exp4_4.m
clc
clear
figure(1)
hold off
%开环传递函数描述
numo=20;
deno=[1 8 36 40 0];
%求闭环传递函数
[numc,denc]=cloop(numo,deno,-1);
%绘制闭环系统的脉冲激励响应曲线
t=0:0.1:10;
y=impulse(numc,denc,t);
z=step(numc,denc,t)
plot
www.eeworm.com/read/156882/11756798
frm pβ_bp.frm
VERSION 5.00
Object = "{F9043C88-F6F2-101A-A3C9-08002B2F49FB}#1.2#0"; "COMDLG32.OCX"
Begin VB.Form Pβ_BP
Caption = "ＢＰ神经网络实验平台－输出幅值可调Ｓ型激励函数"
ClientHeight = 8310
ClientLef
www.eeworm.com/read/156882/11756814
frm atn_bp.frm
VERSION 5.00
Object = "{F9043C88-F6F2-101A-A3C9-08002B2F49FB}#1.2#0"; "COMDLG32.OCX"
Begin VB.Form ATN_BP
Caption = "ＢＰ神经网络实验平台－输出幅值可调ＡＴＮ激励函数"
ClientHeight = 8310
ClientL
www.eeworm.com/read/257275/11935665
m rls.m
clear
fs=800; %采样频率等于800Hz
det=1/fs;
t=0:det:2-det;
x=randn(size(t));
%待模拟的系统（AR模型）
a=[1,-1.6,0.8];
b=[1];
d=filter(b,a,x) %白噪声激励AR模型
%基于RLS的自适应FIR滤波器
N=10;
M=