MATLAB CODE FOR ARTIFICIAL NEURAL NETWORK

Xor.tst
ANN_pi.C
ANN_pi_gaus.C
ANN_pi_sigma.C
ANN_pi_tanh.C
ANN_sigma.C
ANN_sigma_gaus.C
ANN_sigma_gaus_linear.C
ANN_sigma_pi.C
ANN_sigma_S_lin.C
ANN_sigma_tanh_lin.C
CHECK.C
COMP.C
COMP.EXE
COMP.OBJ
COMP.BAK
DCDXDY.DAT
DCDXY.DAT
DCXDY.DAT
DCXNOY.DAT
DCXNOYNO.DAT
E
GN_MOD~1.EXE
GN_MODEL0.C
GN_MODEL1.C
GN_MODEL2.C
GN_MODEL3.C
GN_MODEL4.C
GN_MODEL5.C
GN_MODEL6.C
GN_MODEL7.C
GN_Sigma_s_pi_Gaus.C
INI.W
MODEL0.EXE
MODEL1.EXE
MODEL1.OBJ
MODEL1.BAK
MODEL2.EXE
MODEL3.EXE
MODELA1.C
MODELA1.EXE
MODELA2.C
MODELA2.EXE
MODELBKP.C
MODELBKP.EXE
PI_SIG1.C
SNP9NP1.DAT
SPSG1HID.C
SUM_SIG1.C
SUM_TANH.C
SUM_TNAH.C
tr.dat
tr_data1.m
tr_pat.dat
tst_P.dat
W
X
Xor.dat

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