Stopsis by Pasi Luukka

Fuzzy similarity based fuzzy TOPSIS. (decision making, gmcdm, fuzzy)

FDM=aggregateFDM(FDM,z,k,n)

Sstar=fuzzysimveca(FDMNW,FPIS,n)

W=aggregatew(WD,k,n)

Sugeno-type FIS output tuning by Konstantin Sidelnikov

Tunes linear parameters of Sugeno-type FIS output using various methods of solving linear equations (fuzzy logic, sugeno, parameter estimation)

gradient(A, B, Xinit, options)

kaczmarz(A, B, Xinit, options)

kalman(A, B, ~, options)

Fuzzy CART by Konstantin Sidelnikov

Generates fuzzy rules of fuzzy inference system (FIS) using CART algorithm and ANFIS training (anfis, cart, fuzzy logic)

...

addrulex(fis, rule)

checkfisx(fis)

Fuzzy Logic Toolbox Add-On by Antonio Javier Barragán Piña

Adds new utilities to Fuzzy Control System Toolbox interesting for Fuzzy Control Systems. (fuzzy logic, neural networks, fuzzy logic toolbox a...)

fis2txt.m

fuzcomb.m

fuzeval.m

Bias Field Corrected Fuzzy C-Means by Dirk-Jan Kroon

Estimates the illumination artifact in 2D (color) and 3D CT and MRI and segments into classes. (bias field estimation, illumination, segmentation)

I=imgaussian(I,sigma,siz)

[B,U]=BCFCM2D(Y,v,Options)

BCFCM3D.m

Fuzzy Skyhook Surface Sliding Mode Control for Semi-active Suspension system by Leo Chen

Sliding Mode Control, Skyhook Damper, Fuzzy Logic Control, Semi-Active Suspension System (fuzzy logic, skyhook surface, sliding mode control ...)

SGA__FLC_alpha_SMC( u_flc , u_smc , alpha )

SGA__FLC_alpha_SMC_skyhook_sfunction(t, x, u, flag, alpha)

SGA__SMC_skyhook_control_generation( e , c , options )

Complex Optimization of a Recurrent Neural Network by Travis Wiens

Shows how to use the complex method to optimize a black-box neural network model of a load-sensing h (fuzzy logic, neural network, complex)

P=W_to_param(W,N_in);

W=params_to_W(P,N_in);

[W]=initializegnn_static(m,n,N_h,overlapfactor)

General Purpose Controller by Nassim Khaled

This is a general purpose controller that I have built using the Fuzzy Logic Rules. (controller, if you can send to me..., simulink)

Read Me.m

fuzzy_lookup_example1

fuzzy_lookup_example2

obstacle avoiding robot by karan vasdev

Fuzzy logic (fuzzy logic)

Temporal Potential Function based Path Planner for Dynamic Environments by Vamsikrishna Gopikrishna

Simulates the Temporal Potential Function approach for Path Planning in Dynamic Environments (path planning, potential function, artificial intelligen...)

backward_chain(w,tr,tc,la)

calc_pot_values(w)

extend_world(rows,cols,obs,goal,lookahead)

Linear matrix-based neural network by Povilas Daniu?is

A novel learning algorithm for matrix-based data (fuzzy logic, neural networks, small sample)

[u,v]=nMatReg(X,y,M,N,lambda)

GUI for fuzzy based Washing Machine by Rakesh patel

design washing machine using fuzzy logic (washing machine, fuzzy logic, neural networks)

gui1(varargin)

help1(varargin)

ANN by Giampiero Campa

Adaptive Neural Networks (neural networks, adaline, adaptive neural netwo...)

demos

contents.m

ann

Neural Network training using the Extended Kalman Filter by Yi Cao

A function using the extended Kalman filter to train MLP neural networks (extended kalman filte..., neural networks, parameter estimation)

[theta,P,e]=nnekf(theta,P,x,y,Q,R)

Neural Network training using the Unscented Kalman Filter by Yi Cao

A function using the unscented Kalman filter to train MLP neural networks (unscented kalman filt..., parameter estimation, neural networks)

[theta,P,e]=nnukf(theta,P,x,y,Q,R)

Synfire by Thomas Templin

Simplified version of synfire chain in cortical network à la Abeles, Bienenstock, and Diesmann et a (fuzzy logic, neural networks, computational neurosc...)

synfire.m

Function Approximation Using Neural Network Without using Toolbox by alireza KashaniPour

This code implements the basic backpropagation of error learning algorithm (error learning algori..., function approximatio..., neural network)

mlp.m

Mackey-Glass Time Series Forecasting using Method 1 Single Stage Fuzzy Forecaster by Satvir Singh

For Mackey-Glass Time Series Forecasting : Method 1 Fuzzy Forecaster (forecasting, mackeyglass, fuzzy)

mgts(nm);

st1(mydata, n)

ttsf(mydata) % Test Time Series Forecasting

Simplified Fuzzy ARTMAP Neural Network by E Akbas

Implementation of Simplified Fuzzy ARTMAP Neural Network. (fuzzy logic, neural networks, fuzzy artmap)

classify(data, net, labels, debug);

create_network(num_features, varargin)

sfam_demo

Fuzzy TYPE - 2 by Farhat Masood

Various FuzzyTYPE-2 Operations (fuzzy logic, fuzzy systems, fuzzytype2)

[M,c0,sigma,sigmax]=train_sfls_1(X,D,M,sigma,c0,alpha);

[M,c0,sigma]=train_sfls_1(X,D,M,sigma,c0,alpha);

[M,c0,sigma]=train_tsk_type1(X,D,M,sigma,C,alpha);

S-SOFM Toolbox by Alexandros Leontitsis

A toolbox to implement Spherical Self-Organizing Feature Maps (fuzzy logic, neural networks, spherical self organi...)

C=sphereneigh(X,radius)

[X,h]=trig(n)

[Y,h]=glyph(X,r,c)

Fuzzy Approximation by Night KNight

This is a simple function approximation method I (fuzzy logic, neural networks, fuzzy approximation)

g=isinrange(a,b,c)

fuzzy_appx.m

Fuzzy c-means thresholding by Guanglei Xiong

Thresholding by 3-class fuzzy c-means clustering. (filtering, threshold fuzzy cmean..., kmeans)

[bw,level]=fcmthresh(IM,sw)

testfcmthresh.m

Clustering and Data Analysis Toolbox by Janos Abonyi

The toolbox provides four categories of functions. (cluster validity, neural networks, cmeans)

FCMclust(data,param)

FuzSam(proj,result,param)

GGclust(data,param)

Evalfis Plus Fuzzy Exponentials by Rogério Andrade Flauzino

This functions eval a Fis extructure using fuzzy exponentials. (evalfis, fuzzy exponentials, fuzzy systems)

y=evalFisBetter(x,fisMat)

Mathematical Modeling of Electrotechnological Devices by Borislav Dimitrov

Mathematical modeling of electro-resistance furnace. (electroresistance fur..., neural networks, fuzzy logic)

CoEx3(t,y);

ExRK3 (t,y)

comCoEx3.m

Fuzzy ART and Fuzzy ARTMAP Neural Networks by Aaron Garrett

This package allows creation, training, and testing of ART and ARTMAP neural networks. (fuzzy art artmap adap..., fuzzy logic, neural networks)

ARTMAP_Add_New_Category(weight, mapField)

ARTMAP_Classify(artmap_network, data)

ARTMAP_Create_Network(numFeatures, numClasses)

@LONG by Ignacio del Valle Alles

Avoid NaNs, Infs. (fuzzy logic, neural networks, long class range nan ...)

long(varargin)

nnctrl by Magnus Norgaard

The NNCTRL toolkit is a set of tools for design and simulation of neural network based control syste (neural networks, inverse control, systems)

[F,G]=diophant(A,B,d,C)

[Uhat,PI]=invsim(NetDef,NN,W1,W2,Y,U)

[W1,W2,PI_vector,iteration,lambda]=general(NetDef,NN,W1,W2,...

nnsysid by Magnus Norgaard

The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with (fuzzy logic, neural networks, system)

Yhat=kpredict(method,NetDef,NN,p,W1,W2,par1,par2,par3)

Yhat=nnsimul(method,NetDef,NN,W1,W2,Y,U,obsidx)

[OrderIndexMat]=lipschit(U,Y0,mvec,nvec)

Random Boolean Network Toolbox by Christian Schwarzer

Simulation und visualization of Random Boolean Networks. (fuzzy logic, neural networks, random boolean networ...)

assocNeighbours(node, connectionMatrix)

assocRules(node,rulesMatrix)

averageConnectivity(node)

Netlab by Ian Nabney

Pattern analysis toolbox. (neural networks, conjgradm, neural)

[C,rate]=confmat(Y,T)

conjgrad(f, x, options, gradf, ...

consist(model, type, inputs, outputs)

Neuro-Fuzzy and Soft Computing by Jyh-Shing Roger Jang

Companion Software (neural and fuzzy syst..., fuzzy logic, text)

...

...

[ret,x0,str,ts,xts]=kkk(t,x,u,flag);

type2_union_or_intersection by C. Jeganathan Pillai

In order to evaluate union or intersection operation under type2. (fuzzy logic, neural networks, type2)

type2_union_or_intersection(u,v,option)

find_membership_values by C. Jeganathan Pillai

To find out membership values of linguistic classes within a fuzzy variable. (fuzzy logic, fuzzifying, neural networks)

find_membership_values(inpfis,crispvalue,inout,varinum)

Visualise Footprint of Uncertainty by C. Jeganathan Pillai

Visualize upper and lower footprint of uncertainty in fuzzy mf. (fuzzy logic, neural networks, type2 mf)

Footprint of Uncertainty by C. Jeganathan Pillai

To create the necessary data in order to visualize footprint of uncertainty. (fuzzy logic, neural networks, triangular mf)

create_triangle_data(xstart,xend,triangle_mid_point)

TYPE2_any_3D by C. Jeganathan Pillai

Visualizing footprint of uncertainty for any membership. (fuzzy logic, neural networks, 3d)

plot3d2(principal, upper, lower, xaxis)

TYPE2_GAUSSIAN_3D by C. Jeganathan Pillai

Useful to visualize type2 MF functions. (fuzzy logic, neural networks, type2 fuzzy membershi...)

plot3d2_gaussian(principal, upper, lower, xaxis)

repmf by Hiten Shah

REplace a Membership Function in the FIS. (fuzzy logic, neural networks, replace membership fu...)

out=repmf(fis,varType,varIndex,MFLabel,MFType,MFIndex,MFPar...

nprod.m version 1.3 by Christian Kotz

Replacement for normprod that correctly treats 0, Inf, -Inf in the weights. (fuzzy logic, neural networks, normprod neural radia...)

nprod(t, p)

LABELNET by Ikaro Silva

Plots neurons and inputs of a self-organizing network on a 2D weight map. (fuzzy logic, neural networks, cluster graph plot ad...)

labelnet(net,varargin)

fuzzy_eval by Jason Seawall

Compact C routine to evaluate a matlab sugeno type fis (fuzzy anfis sugeno, neural networks, fuzzy logic)

makebottle.m by Doug Hundley

This function constructs a bottleneck (or autoassociative) neural network. (autoassociative, bottleneck, neural networks)

net=makebottle(X,v,s)

distance.m by R. Bunschoten

A fully vectorized function that computes the Euclidean distance matrix between two sets of vectors. (dist, euclidean, distance)

distance(a,b)

rnnsimv2.zip by Hossam Abdelbaki

Contains a number of m-files for training and evaluation of the random neural network (fuzzy logic, neural networks, training)

Initialize_Weights()

etract_name(Name)

load_net_file(File_Name)

rndmpair.m by Istvan Berkeley

It randomizes the order of vectors within the matrices (fuzzy logic, neural networks, randomize)

rndmpair(Matrix1, Matrix2)

nntest6.m by J. M. den Oudsten

The function nntest6.m is a Neural Network viewer and controller (fuzzy logic, neural networks, feedforward)

nntest6(action,flag);

art1s.zip by Val Ninov

Adaptive Resonance Theory (ART) Neural Network (adaptive, fuzzy logic, neural networks)

art1s(p,rho,flag,V,W)

letno(noise)

letplot(p,r,c)

rnnsim.zip by Hossam Abdelbaki

The program can be used in training and testing the Random Neural Network(RNN) models. (fuzzy logic, neural networks, training)

about_nn()

demo_nn()

draw_nn()