Loto Neural Network
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.
Sharky Neural Network
Neural network classification results live view (like a movie). Free software for playing with neural networks classification. Features: Easy, ready to play with, many network architectures, different shapes of training data sets, learning with backpropagation ...
EasyNN-plus
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 ...
SwingNN
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 ...
JustNN
JustNN 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 ...
NeuroXL Predictor v.4.0.2
NeuroXL Predictor is a neural network forecasting tool that quickly and accurately solves forecasting,classification and estimation problems in Microsoft Excel. It is designed from the ground-up to aid experts in solving real-world forecasting problems.
NeuroXL Classifier
NeuroXL Classifier is a neural network data classifying add-in for Microsoft Excel. ClassifierXL is designed for classifying data in Microsoft Excel. Its ability to handle numerous, often-interrelated variables makes it an excellent "data mining" tool ...
Lotto Sorcerer
Lotto Sorcerer employs state-of-the-art neural network (artificial intelligence) techniques to look for non-random and weighted influences in prior lottery drawngs, then advises optimum playing strategy. This program also features powerful lottery analysis, ...
Stock Market Browser
This very small and quick stock market browser (written in machine language) packs a big punch with a latest videos link, live stock scan with neural network A.I. actually gives buy and sell triangle recommendations, INO TV Free, and individual stock ...
Cortex7 v.1.04
* Optional neural network engine, tells you when to buy/sell for day trading advantage.
* Configurable world clocks.
* Integrated video capture, generate a youtube compatible narrated video with one click.
We urge you to give ...
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.
Some core features of MemBrain are:
* Transfer of trained neural ...
Digital Physiognomy v.1 52
Digital Physiognomy uses a sophisticated neural network to identify correlations between facial features and psychological characteristics using photo identification techniques recognized by law enforcement professionals.
Only facial features that ...
NeuNet Pro v.2.30.0014
NeuNet Pro is a complete neural network development system. Neural networks can be used for pattern recognition, data mining, market forecasting, medical diagnosis, sports handicapping... almost any activity where you need to make a prediction based on ...
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.
You could simply ...
GoldenGem v.2 4
The GoldenGem program is one of the best neural network stock prediction programs. It contains a sophisticated mathematical calculation. The program is used with succes by the top traders. As you use it you will se three traces going across the graph: ...