No BSD License
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bellanim.m
Animation of two generalized bell membership functions.
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bellmanu.m
Manual tuning of a generalized bell membership funciton.
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fuzpcr(action)
FUZPCR Fuzzy printed character recognition.
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hedge(action);
HEDGE Demonstrate effects of linguistic hedges on fuzzy sets
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mlpdm2(trn_data, mlp_config, ...
MLPDM2 Demo of solving 2-input 1-output problem using MLP with
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noise2.m
function out_fismat = noise(mf_type, mf_n, dataset)
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percepdm.m
Demo of perceptron learning
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printui(arg1,arg2,arg3,arg4,a...
PRINTUI Print figure with uicontrols.
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siganim.m
Animation of membership functions composed of two sigmoid functions.
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...
RBFN Radial basis function networks
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...
RBFN Radial basis function networks
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[ret,x0,str,ts,xts]=kkk(t,x,u...
KKK is the M-file description of the SIMULINK system named KKK.
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adjeta(eta, rmse)
ADJETA Adjust learning rate eta in SD according to history of RMSE.
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adjeta(eta, rmse)
ADJETA Adjust learning rate eta in SD according to history of RMSE.
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adjkappa(kappa, rmse)
ADJKAPPA Adjust learning rate eta in SD according to history of RMSE.
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arrow(x, y, s, style)
ARROW Use arrows to plot curves.
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banana(x, y, mode)
BANANA Rosenbrock's banana function.
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bit2num(bit, range)
BIT2NUM Conversion from bit string representations to decimal numbers.
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blackbg
Change figure background to black
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cartmain(all_trn_data, rule_n...
CARTMAIN Main routine for CART (regression only)
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channel(in0, in1, in2, in3)
CHANNEL Channel characteristics of equalization problem.
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chap02
List of plots in chapter 2 of "Neuro-Fuzzy and Soft Computing".
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chap03
List of plots in chapter 3 of "Neuro-Fuzzy and Soft Computing".
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chap04
List of plots in chapter 4 of "Neuro-Fuzzy and Soft Computing".
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chap05
List of plots in chapter 5 of "Neuro-Fuzzy and Soft Computing".
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chap06
List of plots in chapter 6 of "Neuro-Fuzzy and Soft Computing".
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chap07
List of plots in chapter 7 of "Neuro-Fuzzy and Soft Computing".
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chap09
List of plots in chapter 9 of "Neuro-Fuzzy and Soft Computing".
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chap11
List of plots in chapter 11 of "Neuro-Fuzzy and Soft Computing".
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chap12
List of plots in chapter 12 of "Neuro-Fuzzy and Soft Computing".
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chap14
List of plots in chapter 14 of "Neuro-Fuzzy and Soft Computing".
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chap15
List of plots in chapter 15 of "Neuro-Fuzzy and Soft Computing".
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chap17
List of plots in chapter 17 of "Neuro-Fuzzy and Soft Computing".
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chap19
List of plots in chapter 19 of "Neuro-Fuzzy and Soft Computing".
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cyclesty(H)
Cyclesty Cycle line styles.
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dec2othe(number, base, digit_...
DEC2OTHE Conversion of decimal to other number representation.
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defuzzy(x, mf, option)
DEFUZZY Defuzzification of MF.
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ebr_opti(SNR)
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ekfmlp(trn_data, mlp_config, ...
SEQMLP On-line extended Kalman filter training for MLP with hyperbolic tangent activation.
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emdata(data)
EMDATA Error measure of a data set. This is used in CART routine.
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emnode(node_index)
CARTEM Error measure for a CART node indexed by node_index.
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entropy(count)
ENTROPY Entropy function, for use as an impurity function in CART.
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eqtrain(mf_n, mf_type)
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errmoth(para);
ERRMOTH Error function for fitting the moth data.
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evaleach(string, bit_n, range...
EVALEACH Evaluation of each individual's fitness value.
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evalpopu(population, bit_n, r...
EVALPOPU Evaluation of the population's fitness values.
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exts_mf(x, para)
EXTSMF S-shaped membership function with two or three parameters
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f_de(position, p1, p2, inv_co...
F_DE Decision function of channel equalization problem.
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fis(x, y, type)
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gauss_mf(x, parameter)
GAUSS_MF Gaussian membership function with two parameters.
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gbell_mf(x, parameter)
GBELL_MF Generalized bell-shaped membership function with three parameters.
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gd(init_para, x, y)
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genfig(figTitle)
GENFIG Generates a figure window.
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getdata(node_index);
GETDATA Get training data of a CART node indexed by node_index.
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getdata(node_index, data_inde...
SETDATA Set training data of a node in a CART.
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gini(count)
GINI Gini index function, for use as an impurity function in CART.
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growtree
GROWTREE Grow tree by splitting a terminal node of a CART.
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hwmain(case_n, random_seed)
HWMAIN Performance evaluation of MLP learning strategies.
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hyperf(x, y, mode)
Hyperbolic surface for illustrating steepest descent, Newton,
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inc_ctrst(mf)
INC_CTRST Contrast intensifier.
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invsurf
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kfm(dataID)
KFM Kohonen's feature map with 2-D output units.
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kfm2(dataID)
KFM2 Kohonen's feature map with 2-D output units.
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list2cb(list)
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logmlp(trn_data, mlp_config, ...
TANMLP Steepest descent for MLP with hyperbolic tangent activation.
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logmlp(trn_data, mlp_config, ...
LOGMLP Steepest descent for MLP with logistic activation.
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lr_mf(x, parameter)
LR_MF Left-right membership function with 3 parameters.
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max_star(A, B, star)
MAX_STAR returns the max-star composition of given matrices.
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mlpdm1(trn_data, mlp_config, ...
MLPDM1 Demo of solving 1-input 1-output problem using MLP with
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mlpdm1(trn_data, mlp_config, ...
MLPDM1 Demo of solving 1-input 1-output problem using MLP with
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modmlp(task, mlp_config, trai...
MODMLP
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modsig(x, parameter)
SIG_MF Sigmoidal membership function with two parameters.
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nextpopu(popu, fitness, xover...
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num2bit(x, range)
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paraf(x, y, mode)
Parabolic surface for illustrating steepest descent, Newton,
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peaksf(x, y, mode)
Peaks function for illustrating steepest descent, Newton,
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peaksfcn(input)
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peaksfcn(input)
PEAKSFCN The PEAKS function.
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plant(y, u);
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plotchar(vec)
PLOTCHAR Plots a 35-element vector as a 5x7 grid.
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plotrule(cart_table, range, n...
PLOTRULE Plot decision boundaries of CART specified by cart_table.
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pp
PP Pause and prompt.
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randsrch(fcn, x, bound, max_e...
RANDSRCH Random search method for minimizing a function.
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randsrch(fcn, x, bound, max_e...
RANDSRCH Random search method for minimizing a function.
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seqmlp(trn_data, mlp_config, ...
SEQMLP On-line steepest descent for MLP with hyperbolic tangent activation.
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sig_mf(x, parameter)
SIG_MF Sigmoidal membership function with two parameters.
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splitnod(node_index)
SPLITNOD Split a CART node indexed by node_index.
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splitval(trn_data, col)
Find possible split values of a column of a data set. Used in CART.
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ssc(a, b, p)
SSC Schweizer T-conorm using parameter p.
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tanmlp(trn_data, mlp_config, ...
TANMLP Steepest descent for MLP with hyperbolic tangent activation.
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tanmlp(trn_data, mlp_config, ...
TANMLP Steepest descent for MLP with hyperbolic tangent activation.
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tanmlp(trn_data, mlp_config, ...
TANMLP Steepest descent for MLP with hyperbolic tangent activation
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trap_mf(x, parameter)
TRAP_MF Trapezoidal membership function with four parameters.
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tri_mf(x, parameter)
TRI_MF Triangular membership function with three parameters.
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trn_1in(mf_n, epoch_n)
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trn_2in(mf_n, epoch_n)
This script requires the Fuzzy Logic Toolbox from the MathWorks.
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trn_3in(mf_n, epoch_n)
This script requires the Fuzzy Logic Toolbox from the MathWorks.
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tsc(a, b, p)
TSC Schweizer T-norm using parameter p.
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tsp(loc)
TSP Traveling salesman problem (TSP) using SA (simulated annealing).
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uniq(in)
UNIQ Return a vector where neighboring same elements are reduced to
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usecart(data, CART_table)
USECART Use a CART tree.
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vecdist(mat1, mat2)
VECDIST Distance between two set of vectors
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wavefcn(x)
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activati.m
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allbells.m
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allfig.m
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attract.m
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bana_sd.m
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bfgs.m
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bjpick2.m
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bjpick3.m
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bjtrain.m
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carterr.m
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cartglob.m
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cartmf.m
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cg.m
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compball.m
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complv.m
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contents.m
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convex.m
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convexmf.m
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cooldemo.m
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cri.m
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cyl_ext.m
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decsurf1.m
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descent.m
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dfp.m
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difflr.m
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disp_mf.m
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disp_sig.m
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dryarx.m
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drydata.m
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drypick.m
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drypick2.m
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drypick3.m
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drypick4.m
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drytrain.m
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equdata.m
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equdec.m
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equdensi.m
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extensio.m
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fcn.m
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fitcurve.m
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fitmoth.m
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fitpeaks.m
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ftsurf1.m
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ftsurf2.m
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fuzimp.m
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fuzsetop.m
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gdconv.m
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gdss1.m
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gdss2.m
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getauto.m
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gmp.m
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gmt.m
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go_cart.m
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go_ga.m
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go_icec1.m
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go_icec2.m
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go_inv.m
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go_rand.m
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go_rand_.m
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go_simp.m
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go_simp_.m
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hem.m
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houdata.m
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houpick.m
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houpick1.m
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houpick2.m
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houpick3.m
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houpick4.m
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houtrain.m
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idpick3.m
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idpick4.m
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impurity.m
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init_mf.m
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intensif.m
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inv_fc.m
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inv_sig.m
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lingmf.m
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lmsaddle.m
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loadmpg.m
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lv.m
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lvqdata.m
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mam1.m
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mam2.m
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mf2d.m
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mf_univ.m
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mount1.m
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mount2.m
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mpgdata.m
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mpgpick.m
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mpgpick2.m
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mpgpick3.m
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mpgpick4.m
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mpgsurf.m
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mpgtrain.m
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negation.m
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newimpur.m
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newton.m
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nlsebox.m
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nndemo.m
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noise1.m
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nonoise.m
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optideci.m
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optiplot.m
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pchar.m
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plot_ebr.m
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project.m
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rbfndm1.m
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rbfnxor.m
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rbfnxor1.m
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rbfnxor2.m
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resolut.m
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saddle.m
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saddle1.m
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saddle2.m
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sddemo.m
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show_nfc.m
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showdata.m
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softdemo.m
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splits.m
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spring.m
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spring1.m
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sstnorm.m
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startup.m
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stitch.m
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subset.m
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sug1.m
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sug2.m
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taylor.m
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tconorm.m
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tnorm.m
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transfor.m
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trn_4in.m
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trn_inv.m
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tsu1.m
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tsurf1.m
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tsurf2.m
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ttt.m
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verify.m
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xor2dmf.m
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xordata.m
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xorfis.m
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xormf.m
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xorsurf.m
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xorsurf1.m
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xorsurf2.m
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slmg1
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View all files
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| startup.m |
%p = [ ...
% 'c:\matlab\toolbox\fuzzy\fuzzy;', ...
% 'c:\matlab\toolbox\fuzzy\fuzdemos;', ...
% 'a:\ch7\program'];
%path(path, p);
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