Simple Neural Network
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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.
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Simple TimeClock Network Edition v.1.0
An easy and inexpensive way to track employee hours on your personal computer. The Simple TimeClock Network Edition records and reports the attendance of your employees on your TCP/IP network without the need of expensive specialized hardware.
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.
Interactive Neural Network Simulator v.1.0
iSNS is an interactive neural network simulator written in Java/Java3D.
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.
Simple Neural ARchitecture LIbrary v.1.0
SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid.
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
Neurotask v.Alpha 02
Simulate neural networks with this software. Neurotask is a simple neural network(s) simulator.Requirements: *
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.