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updated 4 days ago

Feedback Linearizing Control Using Hybrid Neural Networks Identified by Sensitivity Approach by Janos Abonyi

Identification and application of hybrid models for Globally Linearizing Control (neural network, cstr, blackbox)

fmin_lm(yfun,jxfun,x0,ym,opt,uservar)

fsimu(theta,in2);

fsimu2(theta,in2);

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updated 2 months ago

self organizing map Kohonen Neural Network by ammar al jodah

m-file for SOM using a mesh of 2 dimension (kohonen, neural network, self organizing map)

SOM.m

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updated 2 months ago

num2digit.zip by Duc Chung Tran

Split a positive number into digits, following the digit order from the original number (split number, neural network, train)

num2digit(num,len)

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updated 3 months ago

Radial Basis Function with K Mean Clustering by Shujaat Khan

Radial Basis Function with K Mean Clustering using Pseudo inverse method (kmean, clustering, rbf)

[C]=K_Means(X,M,D)

[Class_IDS]=Class_IDs(NC,NS);

[K]=Kernel(X,C)

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updated 6 months ago

Support Vector Regression by Ronnie Clark

A MATLAB implementation of Support Vector Regression (SVR). (regression, nonlinear, machine learning)

svr(xdata,ydata,x,alpha, b, c, epsilon)

svr_test.m

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updated 10 months ago

Unsupervised Learning with Growing Neural Gas (GNG) Neural Network by Ilias Konsoulas

Learns data clusters and their topology in n-dimensional space by using the Growing Neural Gas net. (growing neural gas, unsupervised learning, vector quantization)

addNewNeuron(nodes,edges,ages,error,alpha)

edgeManagement.m

findTwoNearest(Input,nodes)

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updated 1 year ago

Preprocessing dataset in IDS by Maher Salem

This code transfer nominal features into numeric and then normalize the whole dataset using min-max (preprocessing, normalization, kdd)

KDDPreprocessor.m

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updated 1 year ago

Jordan Recurrent Neural Network by Arnav Goel

Create an Jordan backpropagation network (neural network, jordan rnn, elman rnn)

newjor(varargin)

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updated 1 year ago

CNN - Convolutional neural network class by Mihail Sirotenko

This project provides matlab class for implementation of convolutional neural networks. (neural network, ocr, classification)

back_conv2(FM,e,K,type)

back_subsample(e, ratio)

cnet_tool(varargin)

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updated almost 2 years ago

GTL jetfuel_ternplot with neural network by Abul hasanat muhammad jahanur rahman

This is an upgrade of the ternplot code written by Carl Sandrock (ID#2299). (neural network, 2d ternplot, gtl fuel)

deg2rad(deg)

fractions(A, B, C)

gtl(u)

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updated 2 years ago

Machine learning - balancing a stack of balls by Peter Bone

A genetic algorithm is used to train a neural network controller to balance a stack of balls. (machine learning, genetic algorithm, neural network)

LCP(M,q,l,u,x0,display)

MLPControl(u,NN)

crossover(gene1,gene2)

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updated 2 years ago

Fast multilayer feedforward neural network training by Nicolas

This is a simple and fast code to train neural networks with any number of layers. (neural network, deep network, machine learning)

ask_params(params, field, type, question, value)

bprop(layers, gradient, gradInput, data)

cols(x)

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updated 2 years ago

Neural Network RBF Regression by Siva Malla

RBF based Neural Network Regression (rbf, neural network, regression)

NeuralNetwork_RBF_Regression.m

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updated almost 3 years ago

Neural network simple programs for beginners by Sayed Abulhasan Quadri

Simple programs demonstrating Artificial network using Matlab . (neural network, perceptronlinear netw..., perceptron linear net...)

neural1.m

neural10.m

neural11.m

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updated almost 3 years ago

Data Driven Fitting com MATLAB by Elia Matsumoto

Slides from the recorded webinar in Portuguese: "Data Driven Fitting com MATLAB" (webinar, portuguese, matlab)

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updated almost 3 years ago

Rprop by Roberto Calandra

Rprop training for Artificial Neural Networks (artificial neural net..., neural network, nn)

Demo_Rprop_1(batch)

Demo_Rprop_2(batch)

RNN.MSE(inputs,targets)

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updated 3 years ago

Neural Network Hebb Learning Rule by Ibraheem Al-Dhamari

Simple Matlab Code for Neural Network Hebb Learning Rule (neural network, hebb learning rule, images classification)

HebbNN(x)

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updated 3 years ago

Electricity Load and Price Forecasting Webinar Case Study by Ameya Deoras

Slides and MATLAB® code for the day-ahead system load and price forecasting case study. (electricity, energy trading, model)

Electricity Load Forecasting using Neural Networks

Electricity Price Forecasting with Neural Networks

Load Forecasting using Bagged Regression Trees

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updated 3 years ago

Voice Based Biometric System by ambavi patel

Biometric property speech used for text dependent speaker recognition system. (signal processing, text dependent speake..., mfcc)

[fsize1,osize1,nwin1]=calsize(stime1,intval1,len1)

[fsize1,osize1,nwin1]=calsize(stime1,intval1,len1)

adddb.m

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updated 3 years ago

Neural Network Simulation of non-linear Mass Spring Damper by Christopher Rouxel

Mass spring damper simulation with non-linear everythings.NN Toolbox not needed (neural network, msd, mass)

B=Bvlin(v)

dampernet=NNdamper()

dampernet=NNdamper_lin()

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updated 3 years ago

Shape recognition by Houssein LAMINE

It consists on how to identify 3 shapes (rectangle, triangle and circle) using a neural network. (neural network, shape recognition)

Shape_regocnition2.m

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updated 3 years ago

Neural Network add-in for PSORT by Tricia Rambharose

This add-in allows a Neural Network to be trained by Particle Swarm Optimization technique. (neural network, particle swarm optimi..., optimization)

NN_training_demo

nn_train_feedback(command,net,varargin)

trainpso(net, tr, trainV, valV, testV, varargin)

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updated 3 years ago

Data based modeling of nonlinear dynamic systems using System Identification Toolbox by Rajiv Singh

Perspectives on nonlinear identification using a throttle valve modeling example. (system identification, narmax, nlarx)

throttleODE(t, x, F, c, k, K, b, varargin)

dataprep.m

throttledemo.m

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updated 4 years ago

Rosenblatt's Perceptron by Ibraheem Al-Dhamari

A very simple Neural Networks example. (neural network, perceptron, classification)

MyPerecptronExample

[w,b,pass]=PerecptronTrn(x,y);

e=PerecptronTst(x,y,w,b);

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updated 4 years ago

DeltaRule by Will Dwinnell

Trains a single artificial neuron using the delta rule. (neural, neural net, neural network)

DeltaRule(X,Y,LearningRate,MinimumWeightChange,MaximumPas...

Logistic(Input)

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updated almost 5 years ago

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 networks, complex)

P=W_to_param(W,N_in);

W=params_to_W(P,N_in);

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

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updated 5 years ago

Neural Network Symbolic expression by Dirk Gorissen

Prints out the symbolic expression of a Matlab Neural Network toolbox object (external interface, neural network, symbolic expression)

getNeuralNetExpression(net, outputIndex)

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updated 5 years ago

Orthogonal Least Squares Algorithm for RBF Networks by Anshuman Gupta

The code implements the OLS algorithm for func approx. (neural network, rbf, function approximatio...)

kernel(dis, B)

OLSconcise.m

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updated 5 years ago

sun essker using neural network by Waleed Khalid

neural model refrence sun seeker system (control design, neural network, toolbox)

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updated 5 years ago

A very simple and intuitive neural network implementation by Carl Löndahl

Short code and easy to understand. Example data set provided. (backpropagation, neural network, machine learning)

mendez()

neural.m

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updated 6 years ago

Function Approximation Using Neural Network Without using Toolbox by alireza KashaniPour

This code implements the basic backpropagation of error learning algorithm (fuzzy logic, neural networks, neural network)

mlp.m

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updated 8 years ago

Simple Neural Network by Timothy Felty

A very simple 2 layer neural network (neural network, perceptron, tools)

output=NN2(weights,inputs,af)

tweights=NN2train(IWeights,TDIN,TDOUT,LR,ErTh,AF)

weights=NN2weights(dims)

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updated almost 9 years ago

Character Recognition Example (I&II): Pre-processing of Image by Tan Chin Luh

This demo shows some examples for image pre-processing before the recognition stage. (application, image processing, character recognition)

char1.m

char2.m

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updated 9 years ago

Neural Networks: A Comprehensive Foundation, 2e book Companion Software by Simon Haykin

Companion Software for Neural Networks: A Comprehensive Foundation, 2e book (neural and fuzzy syst..., neural networks, companion software)

A=bpm_dec_bnds(W1, b1, W2, b2, st_sz)

B=colmult(A, vec)

B=sgn(A)

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updated almost 13 years ago

SICNN by Murat Aykut

Very Useful for adjusting Images (enhancement, sicnn, adjusting images)

SICNN(Im,X,A,W,k)

NeuralNet.m

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