JCortex is a complete solution that allows software developers create, educate and use Artificial Neural Networks in Java projects. Splits in two elements: JCortex Framework, an ANN Java framework; and JCortexBuilder, its graphic development environment.
Library for creation of artificial neural networks in C#. Library supports Hopfield nets, Kohonen nets, feedforward networks, several learning techniques (differential evolution, back propagation, quick propagation, resilient propagation etc.)
Character Recognition Using Neural Networks
Steps to use this GUI.
1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored)
2. First we need to teach...
NeuronDotNet is a neural network engine written in C#. It provides an interface for advanced AI programmers to design various types of artificial neural networks and use them.
A GENERALAZED CONVOLUTION COMPUTING CODE IN MATLAB WITHOUT USING MATLAB BUILTIN FUNCTION conv(x,h)
Explain why we use fftshift(fft(fftshift(x))) in Matlab instead of fft(x). An example is given. The example and Matlab codes are partially copied from Daniele Disco d-de?s work in "A guide to the Fast Fourier Transform, 2nd Edition".
This webinar focuses on strategies and techniques for handling large amounts of data in MATLAB, including:
d-deD? Understanding memory and its constraints
d-deD? Maximizing system resources
d-deD? Minimizing your memory...
Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this...
IMPLEMENTATION OF GAUSS SEIDEL METHOD IN MATLAB used in the load flow problem
The script is a good demo technique to show how complex numeric data can be exported and imported in MATLAB
VIDEO TUTORIAL: DATA TYPES IN MATLAB. (Narration in Spanish)
The matrix implementation of the two-layer Multilayer Perceptron (MLP) neural networks.
The matrix implementation of the MLP and Backpropagation algorithm for two-layer Multilayer Perceptron (MLP) neural networks.
Example of how to call API in Matlab.
Open, close CD,
maximize, minimize window
Start with matlab_api.m and try buttons in gui.
If your want to compile mex-file, you should setup compiler: mex -setup. Then type: mex...
This script shows how C# functions/classes and forms (gui) can be used in Matlab.
The zip contains:
- a example c# class (ComMatlab.cs) with different inputs and outputs functions.
- a info_ComMatlab.txt with the commands how...
% printgif(varargin) prints gif files in matlab
% printgif accepts all print arguments in varargin.
% printgif ignores all printer drivers passed to it
% ('-deps', '-dtiff', etc.)
% instead it used the -djpeg100' driver and...
M-files accompanying the webinar titled "New Approaches to Constrained Optimization in MATLAB" held on November 05, 2005
These files provide what you need to run the two demos:
1) The first demo is a demonstration of...
Example code from "Handling Large Data Sets Efficiently in MATLAB " webinar (http://www.mathworks.com/company/events/we.../wbnr30435.html) describing strategies for handling large amounts of data in MATLAB and avoiding...
Provides an example Server / Client written in MATLAB that utilises the ability to call Java inline to perform message communication using TCP/IP.
Importantly it does not require any pre-compiled DLLs or force you to compile some MEX...
These are the M-files that accompany the webinar titled "New Statistics Tools in MATLAB and the Statistics Toolbox." View the recorded webinar here:
This webinar goes through 2...
A script containing the methods used to develop a principal components analysis in MATLAB is presented. The results are analyzed and plotted in different ways in order to interpret the information. The script is presented in Spanish and English....