of random noise with the second-order system model, per-unit system after the reference model differential equation : y (k) = y* a1 (k-1) a2* y (k-2) b* u (k-1) s (k)- style, = 0.3366 a1, a2 = 0.6634, b = 0.68, s (k) as random noise. Because the neural network for a maximum output, therefore, the identification system should be per-unit, per-unit here coefficient of 5. Forward modeling (Parallel identification) structure, neural network-based selection 3-9-9-1, i input layer, hidden layer, including two j, k output layer to the number of nodes 3,9,9,1; The neural network the biggest losers up to one, in the original deal before Identification System Reference Model S Mody treatment, then multiplied by the end of Identification Standard Mody coefficient was recognition system is the ide

ghmm-0.6.0
..........\acconfig.h
..........\acinclude.m4
..........\aclocal.m4
..........\AUTHORS
..........\autogen.sh
..........\ChangeLog
..........\config.guess
..........\config.h.in
..........\config.sub
..........\configure
..........\configure.in
..........\COPYING
..........\COPYRIGHT.txt
..........\depcomp
..........\ghmm
..........\....\cluster.c
..........\....\cluster.h
..........\....\const.h
..........\....\foba.c
..........\....\foba.h
..........\....\gauss_tail.c
..........\....\gauss_tail.h
..........\....\ghmm.h
..........\....\Makefile.am
..........\....\Makefile.in
..........\....\matrix.c
..........\....\matrix.h
..........\....\mes.c
..........\....\mes.h
..........\....\model.c
..........\....\model.h
..........\....\modelutil.c
..........\....\modelutil.h
..........\....\mprintf.c
..........\....\mprintf.h
..........\....\PHI_001_20.dat
..........\....\randvar.c
..........\....\randvar.h
..........\....\reestimate.c
..........\....\reestimate.h
..........\....\rng.c
..........\....\rng.h
..........\....\root_finder.c
..........\....\root_finder.h
..........\....\scanner.c
..........\....\scanner.h
..........\....\scluster.c
..........\....\scluster.h
..........\....\sdfoba.c
..........\....\sdfoba.h
..........\....\sdmodel.c
..........\....\sdmodel.h
..........\....\sdviterbi.c
..........\....\sequence.c
..........\....\sequence.h
..........\....\sfoba.c
..........\....\sfoba.h
..........\....\sgenerate.c
..........\....\sgenerate.h
..........\....\smap_classify.c
..........\....\smap_classify.h
..........\....\smixturehmm.c
..........\....\smixturehmm.h
..........\....\smodel.c
..........\....\smodel.h
..........\....\sreestimate.c
..........\....\sreestimate.h
..........\....\sviterbi.c
..........\....\sviterbi.h
..........\....\vector.c
..........\....\vector.h
..........\....\viterbi.c
..........\....\viterbi.h
..........\ghmm++
..........\......\begin_code.h
..........\......\close_code.h
..........\......\examples
..........\......\........\chmm.cpp
..........\......\........\coin_toss_test.cpp
..........\......\........\create_sequence.cpp
..........\......\........\dna.cpp
..........\......\........\generiere_nvs.cpp
..........\......\........\generiere_nvs_old_files.cpp
..........\......\........\gene_hmm.gml
..........\......\........\Makefile.am
..........\......\........\Makefile.in
..........\......\........\nvs.mod
..........\......\........\nvs.sqd
..........\......\........\nvs.xml
..........\......\........\read_graphml.cpp
..........\......\........\vector_test.cpp
..........\......\GHMM.h
..........\......\GHMM_AbstractModel.cpp
..........\......\GHMM_AbstractModel.h
..........\......\GHMM_AbstractModelT.hh
..........\......\GHMM_Alphabet.cpp
..........\......\GHMM_Alphabet.h
..........\......\GHMM_Computation.h
..........\......\GHMM_ContinuousModel.cpp

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