Now, let Neuralyst train on it. The highly optimized neural network engine goes to work and starts learning the relationships and patterns that are inherent between the data and goals that you established. You can track the progress of learning while it occurs as you monitor Neuralyst. Neuralyst Features User Interface - is implemented through an Excel macro package which manages communications between the user and the Neural Network Engine. All Excel features remain accessible and can be used in combination with Neuralyst commands.
Computations occur in fixed-point arithmetic or floating point arithmetic at the user's option.
Data Types - may be any numeric magnitude or range accepted by Excel. Scaling and normalization is automatically performed by the neural network engine interface. Symbolic data may be represented by text labels. Input and Output Limits - each Excel column may be designated as an input or output for Neuralyst. The total number of columns used to define an application is limited only by Excel restrictions.