NeuralNav™
the straightest line to non-linear analysis
The analytical techniques embodied by NeuralNav handle nonlinearity among the underlying relationships in a manner superior to traditional linear regression techniques. Its calculations are very fast with arrays of input data quickly processed to accurately predict arrays of simultaneously occurring outputs.
NeuralNav’s layered method of analysis and prediction is extremely well-suited to handle the nonlinearity of most real world cause-and-effect sequences.
The application has been built upon a few simple ideas.
1
Create a powerful analytical tool designed to deal with the multi-point non-linearity of the real world.
2
Streamline the application’s maintenance; eliminate data recalibration; and emphasize ongoing self-learning.
3
Provide all of this in Excel, so the user can easily deploy the application in the widest array of business situations.
NeuralNav’s layered method of analysis and prediction is extremely well-suited to handle the non-linearity of most real world cause-and-effect sequences/relationships that frequenly encompass multiple influences affecting multiple simultaneously occurring outputs.