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
- View all files
 |
||
|---|---|---|
|
Contact us at files@mathworks.com