Neural Network Software


Sharky Neural Network 0.9.Beta  v.1.0

Neural network classification results live view (like a movie).

Sharky Neural Network

Neural network classification results live view (like a movie). Free software for playing with neural networks classification.


Nsasoft Network Software Inventory  v.1.2.8

Nsasoft Network Software Inventory is software license tracking solution, powerful software asset management tool and software licensing compliance auditor. The software scans network and generates complete reports about installed computers software.

Interactive Neural Network Simulator  v.1.0

iSNS is an interactive neural network simulator written in Java/Java3D.

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.

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

Artificial Neural Network  v.1.0

Create artificial neural networks. Artificial Neural Network demonstrate artificial intelligence. Taking advantage of serialization, there are two parts of the network. The actual network, and then training data.

Geeks Artificial Neural Network  v.1.4

Geeks Artificial Neural Network (G.

Java Neural Network Framework Neuroph  v.2.5.1

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures.

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...


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


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

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