| Projects on Google Code | Results 1 - 10 of 75 |
= Partially-Connected Artificial Neural Networks for Time Series =
This program can generate, train, and test any series of partially-connected artificial neural networks against a time series function, with the only restriction being that the networks have three layers.
== Introduction ==
This...
=Sinapse Neural Networking Tool=
An acronym for *Si* mple *N* eural-Network *Ap* proximation by *S* ample *E* ntries
http://www.comp.ufscar.br/~cesarsouza/image/sinapse/Sinapse.jpg
This project was created to help creating a system for medical diagnosis in the Federal University of Sao Ca...
NeuralNetworks,
CSharp,
.Net,
ArtificialIntelligence,
Classification,
PatternRecognition,
.Net2.0,
Student,
University,
Science
Before mathematical models were used in neuroscience, models have mainly been limited to imprecise word models. Such word models that have sounded reasonable in the past have turned out to be inconsistent and unworkable when trying to convert to a mathematical model. Simulation enables precise model...
==About==
NEAT (NeuroEvolution of Augmenting Topologies) is a method for evolving arbitrary neural networks developed by Kenneth O. Stanley. This project aims to implement NEAT in the Python programming language.
For further information regarding general concepts and theory, please visit: [htt...
Testproject to learn neural networks.
Used:
*Microsoft Visual C# 2008 Express Edition
*AForge.NET Framework
http://www.aforgenet.com/framework
==================================
_Copyright © AForge.NET, 2006-2009
contacts@aforgenet.com
AForge.NET is a C# framework designed for develope...
The purpose of this project is to create a neural network that will serve to help in the navigation and maneuvering of aquatic vessels. The network will accomplish this task by establishing relationships between relevant on-board sensor data and the different elements that define the motion of a ves...
The project aims to build neural networks which can learn to grow and shrink automatically according to the computing needs of the environment, the project is inspired by the biological brains ability to grow and remove neurons.
Use XLW to create excel coupling for Fast Artificial Neural Network Library.
Export the basic FANN functionality to Excel.
Small proyect that trains a Feedforward Neural Network using the backpropagation algorithm.
Uses Neural Networks to estimate the location of a robot given RSSI data. Class project.