Beginner's Neural Network

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The Beginner's Neural Network module is a simplified set of procedures for building and executing a complete, powerful neural network application in a system that is easier to use than working with the Advanced System.

 

The Beginner's System uses a three layer Backpropagation network, a universal architecture which has the ability to generalize well on a wide variety of problems.   The Beginner's System presets network parameters such as learning rate, momentum, and number of hidden nodes.  You enter data, specify the inputs and outputs, and train the network.  You are then able to apply the trained network to new data and export the results.

 

Refer to Beginner's Neural Network Detail for more information.