%Hopfield网络模型结构(饱和线形函数) P=[-2 -1 -0.5 0 0.5 +1 +2]; a=satlins(P)
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…
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% Demo of Hopfield network % Hugh Pasika 1997 clc clf disp('The Hopfield Network - Demo 1 - Pattern Recall') disp('-------------…
function hop_plotpats(P) % function hop_plotpats(P) % % routine plots the digits for the Hopfield network, the patterns % are con…
function hop_plotdig(P,r,c,stri) % function hop_plotdig(P,r,c) % % displays the hopfield digit stored in P % if P is a vector, i…
function W=hop_stor(P) % function W=hop_stor(P) % % performs the storage (learning phase) for a Hopfield network % % W - weig…
%Example 3.26 % clf; figure(gcf) setfsize(300,300); echo on clc % NewHOP - 设计Hopfield网络 % SIM - 对Hopfield网络进行仿真 …
%PID control based on Hopfield clear all; close all; ts=0.001; TimeSet=[0:ts:1]; para=[]; [t,x]=ode45('chap4_9eq',Time…