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Thank you for your interest in Speedy Composer. Speedy Composer is an automated application for composing melodies for Speedy Net members. We recently made changes to the source code of Speedy Net, and converted it into the Python language and Django framework. Since Speedy Composer was originally written in PHP, it is not adapted to work with Speedy Net in its current form. So unfortunately we were forced to temporarily close the app Speedy Composer. But don't worry, we kept backups of all...
backprop1 provides a simple three layer backpropagation neuralnetwork implemented in java. There are three demo programs to perform point classification, the XOR problem and character recognition.
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ANNJ, Another NeuralNetwork for Java is a neuralnetwork framework for the Java programming language. It is still in an early development stage, currently supporting only feed-forward type networks, but will soon be able to handle many other types.
IReNNS (Indipendent Recurrent Neural Network for Structures) is a recursive self-organizing neural network able to learn scalar functions on graphs. Derived from Cascade-Correlation. Developed by Antonino Trovato at Politecnico di Milano.
Cervelletto is a neural network simulator. It uses a new neural model based on biological, neurological and psychological studies. [it's not yet completed... just give me some weeks! sorry!]
OpenNeuron is a neural networks implementation written in Java. Currently supports only Kohonen Network model, but API is designed to be easily extended to model other network types. This implementation was used for face thermal pictures recognition.
JAFF: Just Another Financial Framework. Technical Analysis (studying the price and trading history) of some stock quotes from internet. Neural Network analysis for non-linear prediction and forecasting.
The aim of GUINNEA (Graphical User Interfaced Neural Network Architecture) is to develop a comfortable and high-featured neural net simulator which is highly configurable and flexible. It will support many neural nets and visualization features for those
This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.
iSNS is an interactive neuralnetwork simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.
Neuralnetwork trainer written in Java with the ability to easily add new training algorithms and training patterns. Includes a parallel training graphical interface where you can view each trainer working in real-time in parallel.
RL Poker is a study project Java implementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neuralnetwork and backpropagation. It provides a graphical interface to monitor game rounds.
A handwritten number recognition system was developed by using image processing and neuralnetwork technique. The system was developed in Java. Other applications which make use of image processing and neuralnetwork technique will be published too.
JEquation provides an intuitive and fast way to input mathematical expressions into latex documents by using prestructured neural network based handwriting recognition.
Java Kohonen NeuralNetwork Library
Kohonen neuralnetwork library is a set of classes and functions for design, train and use Kohonen network (self organizing map).
NeuralJ is a free, open-source neuralnetwork library for Java applications. It is the purpose of this project to make the easiest, most flexible and reliable, neuralnetwork platform available.
Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).
Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
nn-utility is a neuralnetwork library for C++ and Java. Its aim is to simplify the tedious programming of neural networks, while allowing programmers to have maximum flexibility in terms of defining functions and network topology.