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

Jordan Recurrent Neural Network by Arnav Goel

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

newjor(varargin)

CNN - Convolutional neural network class by Mihail Sirotenko

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

back_conv2(FM,e,K,type)

back_subsample(e, ratio)

cnet_tool(varargin)

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)

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. (neural network, machine learning, genetic algorithm)

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

MLPControl(u,NN)

crossover(gene1,gene2)

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)

Neural Network RBF Regression by Siva Malla

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

NeuralNetwork_RBF_Regression.m

Neural network simple programs for beginners by Sayed Abulhasan Quadri

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

neural1.m

neural10.m

neural11.m

Data Driven Fitting com MATLAB by Elia Matsumoto

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

Rprop by Roberto Calandra

Rprop training for Artificial Neural Networks (machine learning, rprop, nn)

Demo_Rprop_1(batch)

Demo_Rprop_2(batch)

RNN.MSE(inputs,targets)

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)

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. (artificial intelligen..., electricity load, electricity)

Electricity Load Forecasting using Neural Networks

Electricity Price Forecasting with Neural Networks

Load Forecasting using Bagged Regression Trees

Voice Based Biometric System by ambavi patel

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

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

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

adddb.m

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()

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

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)

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

Rosenblatt's Perceptron by Ibraheem Al-Dhamari

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

MyPerecptronExample

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

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

Developing Models from Experimental Data using System Identification Toolbox by Rajiv Singh

Describe linear and nonlinear data-centric modeling approaches. (control, narx, nonlinear model)

webinar_walk_through.m

ExampleModel

Friction_Model

DeltaRule by Will Dwinnell

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

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

Logistic(Input)

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)

Neural Network Symbolic expression by Dirk Gorissen

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

getNeuralNetExpression(net, outputIndex)

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

sun essker using neural network by Waleed Khalid

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

sun1

sun2

A very simple and intuitive neural network implementation by Carl Löndahl

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

mendez()

neural()

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

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)

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. (image processing, application, character recognition)

char1.m

char2.m

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

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

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

B=colmult(A, vec)

B=sgn(A)

SICNN by Murat Aykut

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

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

NeuralNet.m