Neural Network Toolbox

Functions

The following functions are the utility functions that you can call to perform a lot of the work of simulating or training a network. You can read about them in their respective help comments.

These functions calculate signals.

calcpd, calca, calca1, calce, calce1, calcperf

These functions calculate derivatives, Jacobians, and values associated with Jacobians.

calcgx, calcjx, calcjejj

calcgx is used for gradient algorithms; calcjx and calcjejj can be used for calculating approximations of the Hessian for algorithms like Levenberg-Marquardt.

These functions allow network weight and bias values to be accessed and altered in terms of a single vector X.

setx, getx, formx

Utility Function Variables

Code Efficiency