Neural Nets
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MonteCarlo Backgammon v.1.0.0.1
Monte Carlo Backgammon is a neural net based computer backgammon player which has learned to play backgammon by self play. Training neural nets to evaluate backgammon positions is a process whose results speak for themselves.
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Data Mining v.2
Learn data mining with easy-to-use examples. Teach computer to add, subtract, Boolean operations, Fishers Iris task and even chess moves with convenient application NeoNeuro Data Mining. You will be amazed how Data Mining learns chess step by step!
MemBrain v.3. 1. 2003
MemBrain is a powerful graphical neural network editor and simulator for Microsoft Windows, supporting artificial neural networks of arbitrary size and architecture.
HyperProtein v.1.0
HyperProtein is Hypercube, Inc.'s new product focusing on the computational science associated with protein sequences.
Neural Creator v.1.0
Neural Creator is our visually based neural network development system that can be trained to perform pattern matching, feature recognition or make predictions on noisy or fuzzy data.
Neural Pattern Recognition v.6.0
Neural Pattern Recognition is implemented using Kohonen neural network and can recognize common stock patterns such as Head & Shoulders, Double Tops, Double Bottoms, Rounding Top, Rounding Bottom, Up Trend, Down Trend, Range, Triangle.
Olsoft Neural Network Library v.1.0
OLSOFT Neural Network Library is the class to create, learn and use Back Propagation neural networks and SOFM (Self-Organizing Feature Map). The library makes integration of neural networks' functionality into your own applications easy and seamless.
NeuralCode Neural Networks Trading v.1.0
NeuralCode is an industrial grade Artificial Neural Networks implementation for financial prediction. The software can take data like the Opening price, High, Low,
Neural Network Component (ActiveX) v.1.0
Artificial Neural System Component is designed for researchers in the fields of machine learning, it can be used to construct Back Propagation Neural Network and to train it with provided samples, then finally recall it with appropriate data. This
Petri Nets Simulator v.1.0
This package provides Generalized Petri-Nets simulation, It gives the user the ability to construct and to simulate different types of Petri Net. Supported Petri-Nets types: Discrete Petri Net Autonomous Petri Net Non-Autonomous T-Timed and