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Highlights from
Neuro-Fuzzy and Soft Computing

bellanim.m Animation of two generalized bell membership functions.
bellmanu.m Manual tuning of a generalized bell membership funciton.
fuzpcr(action) FUZPCR Fuzzy printed character recognition.
hedge(action); HEDGE Demonstrate effects of linguistic hedges on fuzzy sets
mlpdm2(trn_data, mlp_config, ... MLPDM2 Demo of solving 2-input 1-output problem using MLP with
noise2.m function out_fismat = noise(mf_type, mf_n, dataset)
percepdm.m Demo of perceptron learning
printui(arg1,arg2,arg3,arg4,a... PRINTUI Print figure with uicontrols.
siganim.m Animation of membership functions composed of two sigmoid functions.
... RBFN Radial basis function networks
... RBFN Radial basis function networks
[ret,x0,str,ts,xts]=kkk(t,x,u... KKK is the M-file description of the SIMULINK system named KKK.
adjeta(eta, rmse) ADJETA Adjust learning rate eta in SD according to history of RMSE.
adjeta(eta, rmse) ADJETA Adjust learning rate eta in SD according to history of RMSE.
adjkappa(kappa, rmse) ADJKAPPA Adjust learning rate eta in SD according to history of RMSE.
arrow(x, y, s, style) ARROW Use arrows to plot curves.
banana(x, y, mode) BANANA Rosenbrock's banana function.
bit2num(bit, range) BIT2NUM Conversion from bit string representations to decimal numbers.
blackbg Change figure background to black
cartmain(all_trn_data, rule_n... CARTMAIN Main routine for CART (regression only)
channel(in0, in1, in2, in3) CHANNEL Channel characteristics of equalization problem.
chap02 List of plots in chapter 2 of "Neuro-Fuzzy and Soft Computing".
chap03 List of plots in chapter 3 of "Neuro-Fuzzy and Soft Computing".
chap04 List of plots in chapter 4 of "Neuro-Fuzzy and Soft Computing".
chap05 List of plots in chapter 5 of "Neuro-Fuzzy and Soft Computing".
chap06 List of plots in chapter 6 of "Neuro-Fuzzy and Soft Computing".
chap07 List of plots in chapter 7 of "Neuro-Fuzzy and Soft Computing".
chap09 List of plots in chapter 9 of "Neuro-Fuzzy and Soft Computing".
chap11 List of plots in chapter 11 of "Neuro-Fuzzy and Soft Computing".
chap12 List of plots in chapter 12 of "Neuro-Fuzzy and Soft Computing".
chap14 List of plots in chapter 14 of "Neuro-Fuzzy and Soft Computing".
chap15 List of plots in chapter 15 of "Neuro-Fuzzy and Soft Computing".
chap17 List of plots in chapter 17 of "Neuro-Fuzzy and Soft Computing".
chap19 List of plots in chapter 19 of "Neuro-Fuzzy and Soft Computing".
cyclesty(H) Cyclesty Cycle line styles.
dec2othe(number, base, digit_... DEC2OTHE Conversion of decimal to other number representation.
defuzzy(x, mf, option) DEFUZZY Defuzzification of MF.
ebr_opti(SNR)
ekfmlp(trn_data, mlp_config, ... SEQMLP On-line extended Kalman filter training for MLP with hyperbolic tangent activation.
emdata(data) EMDATA Error measure of a data set. This is used in CART routine.
emnode(node_index) CARTEM Error measure for a CART node indexed by node_index.
entropy(count) ENTROPY Entropy function, for use as an impurity function in CART.
eqtrain(mf_n, mf_type)
errmoth(para); ERRMOTH Error function for fitting the moth data.
evaleach(string, bit_n, range... EVALEACH Evaluation of each individual's fitness value.
evalpopu(population, bit_n, r... EVALPOPU Evaluation of the population's fitness values.
exts_mf(x, para) EXTSMF S-shaped membership function with two or three parameters
f_de(position, p1, p2, inv_co... F_DE Decision function of channel equalization problem.
fis(x, y, type)
gauss_mf(x, parameter) GAUSS_MF Gaussian membership function with two parameters.
gbell_mf(x, parameter) GBELL_MF Generalized bell-shaped membership function with three parameters.
gd(init_para, x, y)
genfig(figTitle) GENFIG Generates a figure window.
getdata(node_index); GETDATA Get training data of a CART node indexed by node_index.
getdata(node_index, data_inde... SETDATA Set training data of a node in a CART.
gini(count) GINI Gini index function, for use as an impurity function in CART.
growtree GROWTREE Grow tree by splitting a terminal node of a CART.
hwmain(case_n, random_seed) HWMAIN Performance evaluation of MLP learning strategies.
hyperf(x, y, mode) Hyperbolic surface for illustrating steepest descent, Newton,
inc_ctrst(mf) INC_CTRST Contrast intensifier.
invsurf
kfm(dataID) KFM Kohonen's feature map with 2-D output units.
kfm2(dataID) KFM2 Kohonen's feature map with 2-D output units.
list2cb(list)
logmlp(trn_data, mlp_config, ... TANMLP Steepest descent for MLP with hyperbolic tangent activation.
logmlp(trn_data, mlp_config, ... LOGMLP Steepest descent for MLP with logistic activation.
lr_mf(x, parameter) LR_MF Left-right membership function with 3 parameters.
max_star(A, B, star) MAX_STAR returns the max-star composition of given matrices.
mlpdm1(trn_data, mlp_config, ... MLPDM1 Demo of solving 1-input 1-output problem using MLP with
mlpdm1(trn_data, mlp_config, ... MLPDM1 Demo of solving 1-input 1-output problem using MLP with
modmlp(task, mlp_config, trai... MODMLP
modsig(x, parameter) SIG_MF Sigmoidal membership function with two parameters.
nextpopu(popu, fitness, xover...
num2bit(x, range)
paraf(x, y, mode) Parabolic surface for illustrating steepest descent, Newton,
peaksf(x, y, mode) Peaks function for illustrating steepest descent, Newton,
peaksfcn(input)
peaksfcn(input) PEAKSFCN The PEAKS function.
plant(y, u);
plotchar(vec) PLOTCHAR Plots a 35-element vector as a 5x7 grid.
plotrule(cart_table, range, n... PLOTRULE Plot decision boundaries of CART specified by cart_table.
pp PP Pause and prompt.
randsrch(fcn, x, bound, max_e... RANDSRCH Random search method for minimizing a function.
randsrch(fcn, x, bound, max_e... RANDSRCH Random search method for minimizing a function.
seqmlp(trn_data, mlp_config, ... SEQMLP On-line steepest descent for MLP with hyperbolic tangent activation.
sig_mf(x, parameter) SIG_MF Sigmoidal membership function with two parameters.
splitnod(node_index) SPLITNOD Split a CART node indexed by node_index.
splitval(trn_data, col) Find possible split values of a column of a data set. Used in CART.
ssc(a, b, p) SSC Schweizer T-conorm using parameter p.
tanmlp(trn_data, mlp_config, ... TANMLP Steepest descent for MLP with hyperbolic tangent activation.
tanmlp(trn_data, mlp_config, ... TANMLP Steepest descent for MLP with hyperbolic tangent activation.
tanmlp(trn_data, mlp_config, ... TANMLP Steepest descent for MLP with hyperbolic tangent activation
trap_mf(x, parameter) TRAP_MF Trapezoidal membership function with four parameters.
tri_mf(x, parameter) TRI_MF Triangular membership function with three parameters.
trn_1in(mf_n, epoch_n)
trn_2in(mf_n, epoch_n) This script requires the Fuzzy Logic Toolbox from the MathWorks.
trn_3in(mf_n, epoch_n) This script requires the Fuzzy Logic Toolbox from the MathWorks.
tsc(a, b, p) TSC Schweizer T-norm using parameter p.
tsp(loc) TSP Traveling salesman problem (TSP) using SA (simulated annealing).
uniq(in) UNIQ Return a vector where neighboring same elements are reduced to
usecart(data, CART_table) USECART Use a CART tree.
vecdist(mat1, mat2) VECDIST Distance between two set of vectors
wavefcn(x)
activati.m
allbells.m
allfig.m
attract.m
bana_sd.m
bfgs.m
bjpick2.m
bjpick3.m
bjtrain.m
carterr.m
cartglob.m
cartmf.m
cg.m
compball.m
complv.m
contents.m
convex.m
convexmf.m
cooldemo.m
cri.m
cyl_ext.m
decsurf1.m
descent.m
dfp.m
difflr.m
disp_mf.m
disp_sig.m
dryarx.m
drydata.m
drypick.m
drypick2.m
drypick3.m
drypick4.m
drytrain.m
equdata.m
equdec.m
equdensi.m
extensio.m
fcn.m
fitcurve.m
fitmoth.m
fitpeaks.m
ftsurf1.m
ftsurf2.m
fuzimp.m
fuzsetop.m
gdconv.m
gdss1.m
gdss2.m
getauto.m
gmp.m
gmt.m
go_cart.m
go_ga.m
go_icec1.m
go_icec2.m
go_inv.m
go_rand.m
go_rand_.m
go_simp.m
go_simp_.m
hem.m
houdata.m
houpick.m
houpick1.m
houpick2.m
houpick3.m
houpick4.m
houtrain.m
idpick3.m
idpick4.m
impurity.m
init_mf.m
intensif.m
inv_fc.m
inv_sig.m
lingmf.m
lmsaddle.m
loadmpg.m
lv.m
lvqdata.m
mam1.m
mam2.m
mf2d.m
mf_univ.m
mount1.m
mount2.m
mpgdata.m
mpgpick.m
mpgpick2.m
mpgpick3.m
mpgpick4.m
mpgsurf.m
mpgtrain.m
negation.m
newimpur.m
newton.m
nlsebox.m
nndemo.m
noise1.m
nonoise.m
optideci.m
optiplot.m
pchar.m
plot_ebr.m
project.m
rbfndm1.m
rbfnxor.m
rbfnxor1.m
rbfnxor2.m
resolut.m
saddle.m
saddle1.m
saddle2.m
sddemo.m
show_nfc.m
showdata.m
softdemo.m
splits.m
spring.m
spring1.m
sstnorm.m
startup.m
stitch.m
subset.m
sug1.m
sug2.m
taylor.m
tconorm.m
tnorm.m
transfor.m
trn_4in.m
trn_inv.m
tsu1.m
tsurf1.m
tsurf2.m
ttt.m
verify.m
xor2dmf.m
xordata.m
xorfis.m
xormf.m
xorsurf.m
xorsurf1.m
xorsurf2.m
slmg1
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Neuro-Fuzzy and Soft Computing

by Jyh-Shing Roger Jang

20 Aug 2002 (Updated 21 Nov 2002)

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Description

This text provides a comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing.

For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1444.jsp.

Required Products

Fuzzy Logic Toolbox

MATLAB release

MATLAB 5.2 (R10)

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Everyone's Tags	fuzzy logic, matlab, neural and fuzzy systems, neurofuzzy, soft computing, text
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Comments and Ratings (65)
26 Nov 2002	huang he
19 Dec 2002	li shaoshi	study
11 Jan 2003	liu guanghai	thanks
17 Mar 2003	alper basturk	it is a perfect book
03 May 2003	ying-hao Lin
05 May 2003	h zy
14 May 2003	carlos león	A really interesting book.
16 Aug 2003	Anshuman Dwivedi
25 Aug 2003	alvaro talavera
29 Aug 2003	yan yi	helpful&useful.i think
05 Sep 2003	Alessandro Assis
02 Oct 2003	Saeed Beyty	Usefull and good to see !
22 Oct 2003	s d
22 Oct 2003	L L
12 Nov 2003	Michael Rudzsky
29 Feb 2004	javaid iqbal	an excellent book with simulink examples
05 Mar 2004	ashok sharma	very good
09 Mar 2004	Purna C NAYAK	Excellent
22 Mar 2004	Dingguo Zhang	I am eager for this.
06 Apr 2004	Mubeen Shaikh
05 May 2004	shi yan	excellent
05 Jun 2004	prashant bhogle	good book
10 Jun 2004	Krishna Prasad	Good Book
06 Aug 2004	Diego Midence	An Excellent book, I recommend to buy it
01 Nov 2004	sanjay patel	excellent book
09 Nov 2004	hong jiang	nice reference and may i get more from this book.
23 Nov 2004	farzad samavati
03 Dec 2004	Zuriahati unos
13 Dec 2004	Yan.Yen Lin
14 Dec 2004	zhao linda	good
07 Mar 2005	Muhammad Mohtashim Jangda	great resource!!
23 Apr 2005	Mahdi Kamali	salam.thank you
09 Jul 2005	shahla hashemi-s
20 Jul 2005	millie pant	good work
27 Sep 2005	Mahda Jenabali	The orientation of your work is towards methodologies that are both synergistic and metamorphosig in ones perception of fuzzy logic. I thank you on behalf of my self and the rest of neuro-fuzzy students in shiraz university of iran. truely yours.
21 Mar 2006	Luis Carlos Torres Castro	Me parece un muy buen libro para estudio y como referencia para trabajos.
24 Mar 2006	mohamed elshimy	good book
16 May 2006	raseed mansory
09 Jun 2006	BHARAT BHUSHAN	GOOD APPROACH FOR RESEARCH IN THE FIELD OF NEURAL NETWORK AND FUZZY LOGIC.
15 Jul 2006	mohammed hassan
12 Dec 2006	jingwen liu
19 Dec 2006	behzad keyvani	If It is Possible Please Send me the PDF version of this book. I am a student in Msc Course and I am going to work about adaptive fuzzy Control of BLDC Motors as my thesis project. I need this book and I'm financially constrained. Please help me. Best Regards.
19 Dec 2006	behzad keyvani	If It is Possible Please Send me the PDF version of this book. I am a student in Msc Course and I am going to work about adaptive fuzzy Control of BLDC Motors as my thesis project. I need this book and I'm financially constrained. Please help me. Best Regards.
09 Jan 2007	mosbah ali	If It is Possible Please Send me to me the PDF version of this book. I am a student in Msc Course and I am going to work about Recurrent neuro-fuzzy Control power system stabilizer . I need this book and I'm financially constrained. Please help me. Best Regards.
11 Jan 2007	Ivan Petkov	Please send me too PDF version. I work on a project "Forex Forecating with neuro-fuzzy" in the university. But i can not find good stuff on this subject. Thanks previosly!
21 Jan 2007	dudi supriady	goog
30 Mar 2007	Xiaoqing Huang	Please send me the PDF version. I'm a student interested in neuro-fuzzy. With many thanks!
15 Apr 2007	Ferdinan pesisir	please send me the pdf version too,,i'm interesting with Fuzzy for routing ip,,thanks previosly
16 Apr 2007	aziz waludin	Please send me the PDF version. I am going to making final projects with neuro-fuzzy. many thanks!
17 Apr 2007	Berouaken Ali	I'm a student interested in neuro-fuzzy. Please send me the PDF version. With many thanks!
17 Apr 2007	hamed pour
06 May 2007	Devdas Lalwani	Please send me a zip file for understanding neuro-fuzzy. Many thanks.
21 May 2007	vorya aghamiri
22 May 2007	pandaren pandaren
24 May 2007	guan wenye	many thanks for this zip file
14 Jun 2007	RAMIN JAVADZADEH
07 Aug 2007	Jahanzeb Rajput
23 Sep 2008	taha köro?lu	thank you for sharing your work.
09 Oct 2008	nguyen truong	very good
11 Dec 2008	Sharareh Niakan	I do need to have the fulltext of this book;may I ask you to send me since I am working on a neuro-fuzzy project and I am just a student with resticted financial ability. THanks so much :)
11 Dec 2008	Sharareh Niakan	I have seen this book as areference several cited and I think it could give me a big hand to solve my current problem related my PhD project. Please send me the PDF version of this book. I do need it .Thanks :)
13 Feb 2009	ryan liu
13 Feb 2009	ryan liu
22 Nov 2009	Sandeep Hanwate	Nice book it is.. please send me pdf version of this book
04 Jan 2011	AMBARISHA MISHRA

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Tag Activity for this File
Tag	Applied By	Date/Time
neural and fuzzy systems	Jyh-Shing Roger Jang	22 Oct 2008 06:48:11
neurofuzzy	Jyh-Shing Roger Jang	22 Oct 2008 06:48:11
soft computing	Jyh-Shing Roger Jang	22 Oct 2008 06:48:11
text	Jyh-Shing Roger Jang	22 Oct 2008 06:48:11
fuzzy logic	Jyh-Shing Roger Jang	22 Oct 2008 06:48:11
matlab	Jyh-Shing Roger Jang	22 Oct 2008 06:48:11

Highlights from Neuro-Fuzzy and Soft Computing

Neuro-Fuzzy and Soft Computing

Highlights from
Neuro-Fuzzy and Soft Computing