Neural Nets

EasyNN-plus is a neural network system for Microsoft Windows. It makes the creation of neural networks easy. It allows the user to produce multilayer neural networks from a grid or from text files and images. The user can produce training, validating and querying files using the facilities in...

SprinN, Capital Markets Predictions with Neural Networks. SprinN, the best prediction tool based on Artificial Intelligence techniques (Artificial Neural Networks), gives you accurate open, hold and close recommendations for your investments in the Capital Markets. Both long and short...

Harbinger is a high performance time series data forecaster and benchmarking application for Windows that utilizes neural network technology to model the behavior of any univariate time series. It is highly optimized to achieve maximum computing performance from modern PC hardware, and includes...


Platforms: Windows

Trading software for all instruments on every market! Optimal Trader combines technical analysis with neural networks and modern signal processing. Most indicators have been improved with new technology. A large database with stocks, mutual funds and indices is available for free. Features:...


Platforms: Windows

Your data is imported into a grid and used to train a neural network. The input values are forced to swing beyond their limits. The output values are forecasted by the neural network. A new neural network is created using the new inputs and forecasted outputs. The neural networks are...


Platforms: Windows

The expected performance of a stock depends on quality of the company, market evaluation of its stock, and macroeconomic environment. Also general market current condition is a significant contributing factor in the stock performance. So that it is clear that a good investing decision should be...


Platforms: Windows

Neural networks can discover patterns in data that humans might not notice and successfully predict the future trend. Addaptron Software has developed NNSTP-1, neural network computer tool, to help stock traders in predicting stock prices for short terms. NNSTP-1 predicts future share prices or...


Platforms: Windows

Neural networks can discover patterns in data that humans might not notice and successfully predict the future trend. Addaptron Software has developed NNSTP-2, neural network computer tool, to help stock traders in predicting stock prices for short terms. NNSTP-2 predicts future share prices or...


Platforms: Windows

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

AI::NNFlex is a base Perl class for implementing neural networks. SYNOPSIS use AI::NNFlex; my $network = AI::NNFlex->new(config parameter=>value); $network->add_layer( nodes=>x, activationfunction=>function); $network->init(); $network->lesion( nodes=>PROBABILITY,...


Platforms: *nix

The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research on Unix/X11. Since version 0.5, it uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes. It is GPL-covered, so you...


Platforms: *nix

SNAKES is a Python library that provides all then necessary to define and execute many sorts of Petri nets, in particular those of the PBC and M-nets family. Its main aim is to be a general Petri net library, being able to cope with most Petri nets models, and providing the researcher with a tool...


Platforms: *nix

dANN library can help create artificial neural networks within other programs. It is currently written in Java, C++, and C#. However, C++ and C# versions can only be obtained through the SVN at the moment. Also, the C++ and C# versions are not properly documented and cleaned up, although they...


Platforms: *nix

AI::NeuralNet::BackProp is a simple back-prop neural net that uses Deltas and Hebbs rule. SYNOPSIS use AI::NeuralNet::BackProp; # Create a new network with 1 layer, 5 inputs, and 5 outputs. my $net = new AI::NeuralNet::BackProp(1,5,5); # Add a small amount of randomness to the network...


Platforms: *nix

KXNeur is a X Neural Switcher front-end for KDE. Its a program like Punto Switcher, but has other functionally and features. Last version can get from svn: svn://xneur.ru:3690/xneur/xneur and svn://xneur.ru:3690/xneur/kxneur PS XNeur homepage ( http://xneur.ru ) on Russian only PPS KXNeur...


Platforms: *nix

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


Platforms: *nix

MIDI Data Miner uses a neural network to learn correlations between notes and control changes in a MIDI file. After training MDM can augment a live MIDI stream, adding control changes based on notes received. Briefly: use MDM by connecting a MIDI device, open preferences and set MIDI input...


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

OptimuStock is the new generation of intelligent forecasting software based on neural network technology. Don™t be intimidated by these terms. You don™t need to be an expert in artificial intelligence to use our software. In just 3 clicks, you can start to predict the stock prices....


Platforms: Windows

User-friendly (see screenshot) Minimum knowledge of neural net technology Number of inputs and outputs are limited only by MS Excel limitation Can accommodate more than 2 outputs nodes. Most commercial available software is limited to one output node MS Excel graphing and data...


Platforms: Windows