Neural Network Excel

-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.

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more...

annie stands for Artificial Neural Network Library and is a C++ API (library) for neural network training and execution. ersions exist for both Windows and flavours of Unix (tested on Linux). The library currently has support for training, saving and executing multi-layer perceptron,...


Platforms: *nix

ffnet is meant to be an easy and fast feed-forward neural network training solution for python..


Platforms: *nix

scnANNlib is a Sentinel Chicken Networks Artificial Neural Network Library. Documentation on what is what can be found in README.files. Currently, the API specification and documentation can only be found in the source of the header files (in lib/), but this will be improved in later releases....


Platforms: *nix

SPICE-MLP (the old name is SpiceNeuro or Neural Network Example - NNE) is a small application of Three-Layer Neural Network (NN) with multi-inputs and outputs, written for students who wanted to learn and develop their own NN applications. The purpose of this program is to get you started...


Platforms: Windows, Windows Vista, 7

The purpose of this program is to get you started quickly with Neural Network without having to go through lengthy theory of the Neural Network background. Once you understand these programs you will be able to consult the Neural Network materials on a need basis. Spice-SOM's arm is to introduce...


Platforms: Windows, Windows Vista, 7

Cognity is designed as an object-oriented neural network library for the Java programming language. The main goal of the library is to provide an easy-to-use, high level architecture for neural network computations along with reasonable performance.


Platforms: Windows

A very simple program that trains a neural network with 9 images(3 rectangles, 3 triangles and 3 circles)and then simulates the neural network in way to recognize 3 others images(1 rectangles, 1 triangles and 1 circles).


Platforms: Matlab

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

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

SINCO is a GPL library with functions to implement Artificial Neural Networks simulators. You are free to define the network (ilimited neurons and layers) and the functions (training, threshold, etc.).


Platforms: *nix

Simple tutorial on pattern recognition using back propagation neural networks. the program has 3 classes with 3 images per class.


Platforms: Matlab

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 function. It requires the unscented Kalman filter,...


Platforms: Matlab

Walnut is an OpenSource framework for the development of neural network simulations by both beginners and experts. It is a system that is extensible with new paradigms. Neural network architectures and simulations are portable between various platforms (notably Windows and Unix). These objectives...


Platforms: Windows

An artificial neural network, currently specialized to save a specific bit pattern, mainly by changing the signal propagation delays in links. More features, variables and algorithms will be added in time.


Platforms: Windows, Mac, Linux

Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.


Platforms: Windows, Mac, Linux

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition.


Platforms: Mac

Develop a Matlab program to demonstrate a neural network autoassociative memory. Show the importance of using the pseudoinverse in reducing cross correlation matrix errors. Show the performance of the autoassociative memory in noise. The results are contained in the Matlab file assoc_mem_demo.m


Platforms: Matlab