*dtnet* is a multi-threaded neural network simulator written in C++ and integrated with the Gri graphing software. It was originally written to simulate neuron respones to different stimulus durations but is flexible enough to simulate a wide range of neural circuits. Networks and input definition...

Java implementation of a Feed Forward Neural Network (FFNN). The design is fairly object orientated which means there is a trade off between performance and code readability. The design has had a focus on experimentation, therefore it is easily configured to different network sizes, number o...

This is a simple attempt to make a Neural Network dll, which is able host several types of networks (e.g. Feedforward and SOM). The idea is play with the concepts, as such the structure is more important than performance. This also means that the outcome of the project is more scientific than pr...

This library provides a native Java interface to the Emergent Neural Network Simulation System (http://grey.colorado.edu/emergent) socket interface. In addition to wrapping the basic operations of the socket protocol, it provides an easy way to manage and exchange data tables.

This system will be used to predict the number of Singapore Toto , the system will learn from the pattern of toto number history .

This is only a test for now

a numpy based neural network implementation

A project to develop understanding of neural networks by recognising handwritten digits

Simple artificial neural network for recognising digits or dividing texts in clusters.

Aiming to testing a new methods for detecting objects, and bring abilities visual machines one more step closer the visual abilities of human beings. = Digital Vision Chip/System for Bio-Inspired Visual Attention Processing = Visual attention research is concerned with which elements of a visu...