Neural Network Fourier Series

SPLITNEURON is a completely new approach to large-scale, biologically plausible, neural-network simulation library based on data structures and methods directly coded into database and conceived to explicitly share load on multiple machines.

This color reduction software is based on a new neural network classifier (SGONG). The SGONG network classifier is suitable for color quantization applications, since each image pixel is considered as multidimensional vector, depending on the color space that is used and the extra features which...

This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn. The good classification performance can be obtained for a certain class of data distributions. Other classifiers must be...


Platforms: Matlab

This Program allows a Neural Network in conjuction with Image Processing to compute the best picture quality. This is done by splitting the Image into Its RGB components.


Platforms: Matlab

Comparison with ground truth and triangulation provided, with varying amounts of gaussian noise added in train and test data.GUI is in Portuguese, but self-explanatory. English version will be provided soon.


Platforms: Matlab

Perceptron LMS Feed Forward Back Propagation Character Recognition


Platforms: Matlab

Program FFT2SURF plots double Fourier series representations for several different surfaces. The figures show effects of the number of series terms and use of Lanczos sigma factors to smooth Gibbs oscillations. The Fourier series of a doubly periodic function with periods px and py has the...


Platforms: Matlab

Neural Mesh is a purely PHP, fast, easy Neural Network Manager, Administrator and Framework.The highlight of the project is that it allows you to integrate Artificial Intelligence into your applications, quickly and easily, no matter what your experience.


Platforms: PHP

Short code and easy to understand. Example data set provided.


Platforms: Matlab

This demo shows some examples for image pre-processing before the recognition stage. the first example is just some commnads of image processing which are commonly used for preprocessing, while the second example shows how to use the simple command to automate the image processing stage...


Platforms: Matlab

The form of a single layer feed forward neural network lends itself to finding the gradient. This is useful when the network is used for surrogate optimization or other algorithms that use gradients. Requires creating a file by modifying a NN toolbox file.


Platforms: Matlab

Given a neural network object, this function returns the closed, symbolic, expression implemented by the network (as a string).This allows you to use a neural network model without relying on the neural network toolbox.Note I only implemented for feed forward nets (MLPs) and not all possible...


Platforms: Matlab

Neural network poker is a Texas Hold 'Em program with the option to add a player controlled by a neural network. This program is in alpha stage so there are still some bugs and unimplemented features...


Platforms: Mac

It tries to approximate a f(x) function with a m term Fourier series, using the quad MATLaB function.


Platforms: Matlab

FSSF2 fit a 2-D fourier series surface over scattered 3D data. Series formulation may be altered optimization fit also available. The gui is pretty self-explanatory. Enjoy!


Platforms: Matlab

Neural Network Based Control System Design Toolkit Version 2The NNCTRL toolkit is a set of tools for design and simulation of control systems based on neural networks. The following designs are available:o Direct inverse controlo Internal model controlo Control by feedback linearizationo Optimal...


Platforms: Matlab

-Compatible with pre-2010 vers. of Matlab and Neural network toolbox-Trains a perceptron for the spring and one for the damper. -Runs a simulation with forcing function and noise.-If you don't have the toolbox, you can still use my back-propagation.


Platforms: Matlab

The output figures will show effects of the number of series terms and use of the Lanczos sigma factors to smooth the Gibbs oscillations.


Platforms: Matlab

Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only.in this system, 'A' template is feedback matrix, and 'B' template is control matrix.also, 'I' is Bias value.all image...


Platforms: Matlab

Simple Matlab Code for Neural Network Hebb Learning Rule.It is good for NN beginners students. It can be applied for simple tasks e.g. Logic "and", "or", "not" and simple images classification.


Platforms: Matlab