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updated 6 years ago

Neural Network for pattern recognition- Tutorial by Alaa Eleyan

simple 3 class recognition using back propagation neural networks (application, neural networks, pattern recognition)

NN_tutorial.m

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updated 7 years ago

PLANT IDENTIFICATION AND CONTROL USING A NEURAL by Cosme Rafael Marcano-Gamero

An example of using Matlab Neural Toolbox (whitepaper, article, paper)

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updated 7 years ago

Neural Network Programs by Dr. Madhu S. Nair

Neural Network Example Programs (neural and fuzzy syst..., perceptron lms, feed)

CR()

delta.m

ff1.m

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updated 8 years ago

Character Recognition Example (IV):Training a Simple NN for classification by Rostam FarrokhNejad

This demo shows some examples for image pre-processing before the recognition stage. (gui, display, annotation)

charcrop(bw)

createnn(P,T)

figresize(bw2)

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updated almost 9 years ago

Particle Swarm Optimization Toolbox by Brian Birge

With Trelea, Common, and Clerc types along with ... (optimization, emergence, swarm intelligence)

...

[OUT,varargout]=pso_Trelea_vectorized(functname,D,varargin)

[out,varargout]=normmat(x,newminmax,flag)

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updated 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 11 years ago

AD751 by Vlad Atanasiu

A tool for laid lines density measurements from paper structure reproductions. (application, papermaking, laid lines)

ad751.m

emboss.m

imregrotate(varargin)

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updated 12 years ago

Simple DIP demos by Tan Chin Luh

Simple DIP demo using MATLAB 6.1, Image Processing Toolbox and NN Toolbox. (tutorial, example, template matching)

[complete_rivets,incomplete_rivets]=project(x)

[pic_NNinput]=crop5box(x,thresh)

about(varargin)

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updated almost 13 years ago

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)

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