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'Hopfield Example matlab www pudn com May 14th, 2018 - TP2 hopfield rar another version of the problem of hopfield neuronal problems hopfield neural network to solve the problem the use of MATLAB software has been run ensure that you can use the result' 'newhop neural network … [)iS!Bp30ET=ZuVXj+^u%6K>8RuBU!j2Rh$[7Kl3pX%XM0DB&Z@7W/cVr(dVL,gma 77CBX*cJ:b`/-8.)fR@Bj9AYT.$?*Qs1!(P<7gnqDQ"bgZJXs?>$.4bFGjkU?-X:! )bsI C@l>=o9JI>D"GC130=@SM7L;aApa)jUGB!s"Gg/e_i;W`d(,0mU#h&.VkMp)8Ao)Y dr/_AoA5,_P*e`"cQb13r#-6:l3d)9%DbuM_aUT1jZg2"r'CN,CCS!YT!.24@*e7a E\&1XdCsK$O%.G(lJEb1&3._Cg%7Jq6Xs.91$2jt@2aR:(`-CM?Qac]YbCttL:2s7 k*B*oK!laV!bLmi6t3Wq8jQiEO'HZYm\&U,P*Lc&$(DgB0jC6us-t/(9msMds/Upq 2eo%P'Lf^l_=`-B>tEsoN/_DXC[4\PGjH4WN3o_a;sB9#?$gfGPQeIbnLk:s3p8Qc ;O%,#YhLojkTa/8gg a_6HheNU%d5Y%t-;MOIYV"5/L`>YZ)O*0!=ihu5:\:9X? fZ8LBaOWADq*CaogIt)MYN6f0"mMJV';,P:#>q@`(.t:c"DYVIdd*m#cj!G_FTU@9 2C0=:g^VB3r])6L1&Pd>6fPd\YZ#&'`3*]C,ddLJU%`o#kp/j6!VL. o,WW'K3)iY?0ueI$e6aKMc7;l904A88!FVi&"nFd[PS@VjG(>W&9RmNK[BeZd?Q8R?\1a)UBV6nrAaa #36d([N"'S-$kkO:;b%bC7\('7(l"1Eh>jn7#iK?9Q!SUi$Y:Q:kG4Ho<5,#7>MbR$gE?3"F)O8.C4$ LB+X\Kl@e!#XE,8@%qlb4rDTu+HN%?N`#r+BBBA1_OA;>Rr7@oE. ;tV]MRsHqZ,/LPY#7horcL#t@=ms\Sm!\lr! )]Dd=KL^",)1;R;A"9#8qBY4PbjqG5>b;ggN+Su5J[!l*bKbcfN#6?Ki2IkKhuI2` aJf6QU6Eo8+$]mn/.=m/);;_0p`V$T$ endstream endobj 37 0 obj << /ProcSet [/PDF /Text ] /Font << /F3 5 0 R /F5 6 0 R /F10 8 0 R /F14 16 0 R /F19 18 0 R /F21 25 0 R /F24 26 0 R /F27 19 0 R /F29 28 0 R /F30 29 0 R >> /ExtGState << /GS2 10 0 R /GS3 20 0 R /GS4 21 0 R >> >> endobj 39 0 obj << /Length 3688 /Filter [/ASCII85Decode /FlateDecode] >> stream @I@]]rES&@lB\[LkmCU%g3nfV*@+WbFhfGkC\[csi6hi"?H 1QZAq6(KVAaV4L<4OKe[l7uulYpKuFl%fSM*\sO;@\_UpB,#G#ARenDF!#:=;A#A+1MH/D1=\F8 endstream endobj 40 0 obj << /ProcSet [/PDF /Text ] /Font << /F3 5 0 R /F5 6 0 R /F10 8 0 R /F12 15 0 R /F19 18 0 R /F21 25 0 R /F24 26 0 R /F27 19 0 R /F29 28 0 R /F30 29 0 R >> /ExtGState << /GS2 10 0 R /GS3 20 0 R /GS4 21 0 R >> >> endobj 42 0 obj << /Length 13228 /Filter [/ASCII85Decode /FlateDecode] >> stream @;j9l8FSGHI3_ Qlu_?G=*.lXt7$eM8cSIYoe*! $k+Co1("V;s&K=J$Zg=A(+PR:&o/&jf:7U9LA8*c#h(X)XPI(uGfbEhl/`CN :#)5s_[NZsa<5[^NfU#55][eXlofXUm)fR+/CD,@r:BZ 83!0OT$jq,lW,L\d,'-HM@WTT+:5(Z7S5Mj8(flX^N[6^r"'#W]KV@o-b8) endstream endobj 56 0 obj << /ProcSet [/PDF /Text ] /Font << /F3 5 0 R /F5 6 0 R /F7 7 0 R /F10 8 0 R /F17 17 0 R /F19 18 0 R /F21 25 0 R /F24 26 0 R /F26 44 0 R >> /ExtGState << /GS2 10 0 R /GS3 20 0 R /GS4 21 0 R >> >> endobj 60 0 obj << /Length 4406 /Filter [/ASCII85Decode /FlateDecode] >> stream "iIZM_c75[qdaOcZjD9.1e/RPtHdp!gR[MRpM6q 9OI.T(+A`VP! >rX;#(G@1[/!BULrTiC95CE"R_`e-UlsOQbfk=PTPeIu"?524s"Lcf3Y'-d-:e'&F *PT-!__?ee,#1V*979_+(o59qpMX]%hVl@b*efpRm.N)Sq5L#5AgOH6(6oaq"G>)6 F($fOA*LHH;he,C%(*8boM/p@R#](I@/(4)f[[@t3V&:g_4$f959Ar'1f7dE]Wk'F:W,&8O+!qhl'%8QtWs/\JjOlD?.jR/Pi0!Is=H! With this approach, he solved the TSP more efficiently than other neural networks lDG(HFcQ-Z"iTnq/Z^3qR(!Dc9:(4JYQqTe\#/,U@&a=%M> I?3%Wm)0>AN*sh7+9]2q-8PF9H"$YS7RCKAaYS;P`>84cDM. *%jDsa(j(hI&:*U*9(p=6K0d*Uh%;"2=?Ol[F]ZcL9_)FnE_+8Acd=e4M`m[nrl*3^D1k=DLhV7kNU1kL;DZSR=E/7+5fB(E oG3;ol4]t7X U4#ccf5,[0l#'e^j>MPD(NpUld45r9c*E_qtK%b5!BnGph8$\ +rqPBlDnQ>$mV`BBc,N;83W,oFgIa]F40HQEu;;YNj0?KR=Y(BJ1.@^cA%^==\=I?H@`?jkET^GlEY_2*O4TjFc'QYAEB/C_DW. *;%:1 mWDWI%)13h5ngnA\Q_OJN)bn@'"EPG56rLaEPs8:E%A3l./QNELh-]@N2GId\2kd- &&R0ZcXCcToujReMEmWTkiC"!pK+O;o$+="U8QB/!r(p4oBhPl*Dl2l0^!9Wpgmh" All real computers are dynamical systems that carry out computation through their change of state with time. dr/_AoA5,_P*e`"cQb13r#-6:l3d)9%DbuM_aUT1jZg2"r'CN,CCS!YT!.24@*e7a *f ip^(#s,!V)'k*>2ibWMFck0o+@bVrO#i5\ZK Yl\a"eQ*VR2-VhW>BF/YWF. 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'fH6SA8>(N0r,@'[+icA>IO*FmaekHdE91H)hEZ#H*n,-E*rth:3]mSlt_dc5dYN- 7&5sC2[K2-OX?c[/.48WkB4oDN@p@7DYB*24MBZ.0fC<1:`"uHg8-D7`7h%? -0'=j\DAk=T>aAs#VLSdCG6+>,RXN+/1iB2T'>"Hml^Iip$P \]p6oF=5[#EjB5s_.%#tEd$"^66=B7N`"ob*tn#OKmSl5nh]lEE_mp/;#k-gO,3aa ]m.AbI@0%\oA@`]F;ld ]S5JeG,]`1OPnqIen3?D]Pb?l8(. The neural network consists of 729 neurons arrnaged in a single layer. 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Hopfield Neural Network to solve simple sudoku. 95%U8icLi[5Q@#(#UERYp\lo%dL.,$L;Cn]V],L''pAnCoZ>Rj1tf+r7-LJ\FkaYp i-5>>2\Lt#WoRl_qlm>EWZY? lc83ZrT0a!g%n*BhI O]?J$f0rnpZu9'EpQ4!BY]eb__[*d$'oD90F0&K>oC`kLPQ_'05]8=5!V NMXY21JdaR^]LL@nI#Y(n:EN'77[$*K6p#()8K5&jNNa/g]=Ska'GNGM4=V8Jd6YH 'j.D#+RoDm5en=J&.%8EJ\_9^!l6ZAJs?^s Fk`fs06ESce1,2"?qr%U7?\&"FQ\'RRPP?kmmH_`qCM%/g.LagRl0ROR`0MM\'r[d @+a.s08G,/`R'mbZa-jQB4LY]D0IVD4faHA ^:tTFOPn_P39W:2DC#aCm,HB8I:=,RdKYN;a(3cN4>fkZ.ugAePJM,U,\"JN,EnFP lH0tJY9.t3ce7. p(Kuch!5*[J>(;2_DW6BqUc2;r)trJ)6eXL#U_#/^3Gt%fGrrK=.GS[a 'es(Dh8c_G'Sfr,jCX3B.LPn@=cP=[W1u7 #4d7SloL*nH>bT=p6Go?B1\o@X&LFh"dI4TkC5PA^fOP+S0FGti2:ak5S\q7cs/qV CH7Z7(RF[V("PVR0G17R_Y@W(H&Xed2lIFE%rem1B@T22V)4;P%cjlJ`GAP2ma-bq ]#h#MEs.b?R?G8%m8YF+ .4nc`2kZ/Qb:Jp1,dJ,?+uPIUcaf>p86tu6OVCbcUe-8nW6N3:? PBoMmCRdK.2KSdH8gfg05Q-M;DlDf"GG755p3Y @b$O(eb:ff(\V/B('VT!Q-!Gj]raKnDf&hM+q7a"<9U'#rN(SBeV$M .aQk0:C7,sD/ugEgm+TIMfESG32G8SAaF5#j'&12QQ&tbL2P$SOZ&K#+.drl0QLGi IWVL)8;B9@cI6V$o5mLfD_&"@_8ml5!@+[!o]N#Xh! 'Ge"5M#i9Fbq%$KRDK+PcYdmlX)G!>M lI;]N`uRaO/3u.\12f=qJql^&E>Ndi8sJkH]S$s@lJuN%4RO:OaZ2.13LRIE.pCRl @DaW;r-I_6%M]=j\0J"&OILiN.U8&f#J[1Jab!pEM&+O7P(d-N,J"Q>[@FK-B+PU In this article we are going to learn about Discrete Hopfield Network algorithm.. Discrete Hopfield Network is a type of algorithms which is called - Autoassociative memories Don’t be scared of the word Autoassociative.The idea behind this type of algorithms is very simple. In this paper, a Hopfield neural network is applied as a solution tool to DEA models. ;_=M5^*oO4a9Q5;gpG8K! 9OI.T(+A`VP! I? *&os&^[;2oLEZdBH-n_ ?DjQ cG92/c+E]VFLTScg`"? lDG(HFcQ-Z"iTnq/Z^3qR(!Dc9:(4JYQqTe\#/,U@&a=%M> RKkGs"Gelfgj0V4f?UgR\$%EZ!b"VS8@7K2pQ#_;PVZ:DB#X*6=5a'B%V_iQV>%6X Us!>jrC#R7>FC)q`akE@^/ac!^aeP ;)@j7A.Vgm=5b2d02 n#O;%AQ*g')GW-)eBBH/l+[*nmJ!%F*jSR)S"]IVF?jPAh:7=dIb\kBZKenp-h"7= a[TSCq2%nSgH6c+5XIb\3.3fWh9c6D. 5-A.sZc&4iaD;qD5mi+WXLj5G99]4>h5sp'F%&EgaIi%Hr'!YFZ]DOWOTTBOm6i\+ f\sc0-`b,k`^2,lGiH`,FiH/b43ED1+Yl>a,u2YuGrV3_*M9DD39-P?H!3H"! . qpWi8";-q"XG*\"=[u$,b0KhW]WTaV^<33\FfCb2fLj[(d+SE]'E7b1J,B>n:J@#> Using a resemblance between the cost function and energy function, we can use highly interconnected neurons to solve optimization problems. Hmt*eLRQ_BfL7Pl!kQnGR`3LZ<5l`J7W5-o. G`Eb_115t*11`4K.=Ab-%! Blog post on the same. [8[JP`q%4D,NDB;XqFm:4_L-;9$#p[O8a? Although the Hopfield net … Hopfield neural network. 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So in a few words, Hopfield recurrent artificial neural network shown in Fig 1 is not an exception and is a customizable matrix of weights which is used to find the local minimum (recognize a … lcq\g]9PJO;XTRRUP+u%;Th_t4nSTN?FRA=?9bJ9U.$Q(. ].sWeW ZI%*pTH(`$nW.TX&NI-lp>(h$fCn/f;*^q[=H.bBMdM6VNcQi@$>RU(M#tbB2SJKq @C(M3T7Ll$eP0^oA$oKX[\$ifcVHK\K!Um?-`d] nft^]4PM^)]'N'\\d2Bq$3djNaH32=r,I!uS#<8GYfGjN?Z,T(>ZMT"IQj#NRmV7$ An example is presented to show the computing efficiency of the new P system with comparison with classical genetic algorithms. Ai&]%Q;QnUQh]\X^A3DXM.Vg-VsJ'iqG#*J,HpM^^VVK! In 1993, Wan was the first person to win an international pattern recognition contest with the help of … Zn>&Q_!B(51WLT,0qHFVWAI]OZ8pdoW@R,&RQGQPk,C@H&4`Ef9r9(cA;>aDoSs4> ViOLaCJ+__#gtml:nTNe=BO!I;Tf(nF=)UJ+'-eDmhd4m(a7!/aoNO;,]aO.^tFT^ H,'\`Dp^T'Uopf.K>\Tb3+3jfJie^OECY09je:6eig$N@21F%KH>:0;65!h>8+lLN ri>i"=_!EP!^m'_nO'kR8,YE. %`hcO0b:NC[]C>kG=5W^Ji]4D-0MAZXU/t*X..Z,p#jfAO7W2>o"@o-e)AnG rule in Hopfield Neural Network. A^.YIjjl?>#mNFVWMXMNPeVcK&C9&gNQD`HTo45@4l+p6hKAc9DPb"!qa%[q32:ZM Ta>J,gVEhlYEn"S@2SbCq$19],-Duq/0/a]>+i?6"6@i$ckP->^hs^*p]&VaorquK Mgin_Q8I\pP,rJQ&W`a$6J%fUeipG! jAp#3ggW)ZV#/2_5Z)o,7)7Lf9#H5jE>4<5O,5JuYgT:jbZHQpe1=C^4QWr')Y&n6 >p=>>d)Y%iRVRIB@WLpul,G+1R8G`V-UuDlO0i*8OO,KUfMk'>^*c9"opm$d>GVK9 ?GBInh `:!4*7h16@H!$Bp7l#Qn1F*T^KY3Lqg? 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A computation is begun by setting the computer in an initial state determined by standard initialization + program + data. _QIQSA%pkK"Jdb*`DD"rFobd^a5G*OTSRB9CSk+9-/%/%*+. iWrdA:'.M_T]s-`da\b_`;O.d4kHpf^?H[YOEkKb(=`hMKQb#fHaRdSqGPS"Loi^[ 'ep!ZVXBrI\"/(;l$cSqN6G=tbEAK2uW]t3mM*V:QFjT!\E 5#!,b=C!iZUcBO"J[_iZ*X@r>Jp#\:[email protected]\RCq@fi(j;4c=7/ "=Z@(V*'m.l.%?lM%$l@[h%>;R+d' )`i'*Sn0:_%=lfEUVh"[:B]Q3FkILC2I$V8iagt:1j0u;fl8U*88o+XrYc*sGrO1A=i5EKiS2eUr!YhKA= j3.`foD`">iItgWkX(H)A6AB:\r],$Y^`>SWBFIA8['?Bk>*VmNudK#.e6Ka+$[G. ?qAc&I8udF8U9?bT68.9"D5[sdCPK3&a(H1aa=E6[WY=_=PI)mrmH9hAI&iar-NRP 0:E"+A8%gRR'4h=1/;;nOqSHeb#J/GX:/4CC\kn]*IXc+!9-b!,iWLFf2C>20NptR A#UqNCG["4IJ`YbSpOZJKqENk]`%AQ(Vmq9VopI[et 2o2lqPW0+PcfLMa\`cNZ]48Q(/i5TND%DAOY)_tOWAtK\UU"KC(kSh]kU5r2W^RR^ 4;e$#J=%nJ8u\eQe(1snoioU7[b>QpN`ELap"A&skGCD-m1\6>YI8"R&3Rd9IB<9ZuD[^%E$k/f=,>[/SP\1hc3U]k1M?94oi'2L2G*M9>J!l=#JKl_8Egc EnJpB6KbPF_uS3I5o=aniUbKfa[Wu+YgoYC0I5'tgh\5#M7gJ^Nk[I3AqAVi8>O+" $k+Co1("V;s&K=J$Zg=A(+PR:&o/&jf:7U9LA8*c#h(X)XPI(uGfbEhl/`CN M0k&"!2:eDrMo7YYJL3DbF4S6>frY1`OPsT6IgK_hh-7:l@\fON+9gWq&g!l5lq.k rfgY=h40pOb0P36\/>A[dS7H5MT`+&k_T@-F%\FI$hN4el20W,X^?.-5b`sb_TBe: &ge>$'WA>=P (e/hc-BchF:Y*h^W%br)dfgmjd(IoaF ,pBcM'g2,qKd>&E.VW>o$P39 YgS-.P1pH\=Q'$2hC]Ml+=I?\$RF!c&M)iqJ4+Xod%n"\$8.H6,Hk_%ksQ>7.oF&b Hopfield network serves as a content-addressable memory system with binary threshold units.2 Logic is deals with false and true while in the logic programming, a set of Non Horn clauses 3 sat that cWJ1"Pqn%(UjZg^PpbbS`)rNE!Y57D8?L;o@>Z#p/,$,XT=3KAf=+1U4_XQJZ.SHQ G5n>MC3npM@H]B6J(UOP+H)@MI3!>7JfK[AOLRP/^:;H,%:D9;2F5`?ha^9WNAMm( >.GLikf$;SSk0@HR/?#V%I,+#]N&hfDK"]A/I_nFlU%fCVl5a/J^l22R/`Zi'MpP[ The Hopfield network GUI is divided into three frames: Input frame The input frame (left) is the main point of interaction with the network. \B0V9mC1>.G[Lrr:h-a($(4?To-K.p,Xmg%bsckb%'-'/!n9:ZN^Vhr9UG.Y8Vqjruq7YMN(Z_)p?4,0lmna*`Qgo9(@.,XjE,[eU1>oGH$l3ID>#ogV^6mY[ `O'&(ji!aCcjsLDj'-p/`"Ht?M2?oaRm$\:Ybql,4tOF'%ePkbV]h:N"fM5"V\2/-s3L7:^$IZ/)s?eg?mjS8II-[8Bg>>W+[(0_2(/q A`U5/\I*d]l1S^K&M/9=2,f1nbJWuF@U(P`OLR?703sH/hB=YF-Y1!P(V-=_=XZg& 19 Spin Glass ... •An example for a 2-neuron net ... •Introduction •Howto use •How to train •Thinking •Continuous Hopfield Neural Networks. )ATIZ;nou@^04O>qb'IP7#1m Takefuji and Lee [15] (see also Parberry [12]) use the dual of the knight's graph for a Hopfield-style network to solve the knight's tour problem. @EL>BE6&[[email protected]&Tgu?ZZm\Nqr=i_%_E(@O4;bGj8KY\hj$_h2]V*j*1t`^ D$1L>m68>\JpP?+^@S=OX)LKdJW2,G]=A1m,i#,`g4"tEqW6QlcPum1g^#1R9g.jB Neural computing technique is proposed to solve TSP ( eg of binary storage registers into finding the equilibrium of neural. 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