%例5.5, hop5.m % T=[1 1;-1 1;-1 -1]; net=newhop(T); %创建Hopfield网络 w=net.lw{1,1},b=net.b{1} …
HOPFIELD 源代码
探索HOPFIELD神经网络的奥秘,掌握其在模式识别、优化问题及联想记忆中的独特应用。本页面汇集了137个精选资源,涵盖理论基础与实践案例,助力您深入了解HOPFIELD网络的自组织特性及其在信号处理、人工智能等领域的广泛用途。无论是初学者还是资深工程师,都能在这里找到宝贵的学习…
%例5.3, hop3.m % clear T=[1 -1;-1 1]; net=newhop(T); %创建Hopfield网络 w=net.lw{1,1},b=net.b{1} …
%例5.4, hop4.m % clear T=[1 -1;-1 1]; net=newhop(T); %创建Hopfield网络 w=net.lw{1,1},b=net.b{1} …
%hf2_figure %============== %============== %to see the input/output figure('name','欲记忆矢量','numbertitle','off'); clc T=[+1 -…
%Hf4_test1 %============== %============== %to see the input/output figure('name','任一随机输入矢量的收敛过程','numbertitle','off'); T=[+1…
# Microsoft Developer Studio Generated NMAKE File, Format Version 4.20 # ** DO NOT EDIT ** # TARGTYPE "Win32 (x86) Console App…
%Hf4_test2 %============== %============== figure('name','任意随机输入矢量的收敛过程','numbertitle','off'); T=[+1 +1; -1 +1; -1 -…
%Hf4_figure %============== %============== %to see the input/output figure('name','欲记忆矢量','numbertitle','off'); clc T=[+1 +…
function yprime = nndhop(t,y) %NNDHOP Calculates the derivative for Hopfield network % % NNDHOP(t,y) % t - Current time % …
function yprime = nndhopi(t,y) %NNDHOPI Calculates the derivative for sample Hopfield network % % NNDHOPI(t,y) % t - Current…