QwikNet offers a wide array of features that make designing, training and testing neural networks easy and fun.

Design Features

• Up to 5 hidden layers
• Unlimited number of neurons in each layer
• Automatic data scaling
• Unlimited training data file sizes
• On-line help is always available

Training Features

• Choice of several advanced training algorithms
• Automatic prevention of neuron saturation
• Cross-Validation training
• Visually monitor the learning process and the network weights
• Choice of sigmoid, tanh, Gaussian, or linear activation functions
• Input noise and weight decay

Testing Features

• Graphically view the network outputs and errors for both training and testing data files
• Create three-dimensional contour plots
• Error histogram plots show distribution of errors
• All plots can be created and updated during training

Export Features

• Ability to output trained networks in several formats including;
• C/C++,
• Pascal,
• Matlab