An epoch is a measure of the number of times all of the training vectors are used once to update the weights.
For batch training all of the training samples pass through the learning algorithm simultaneously in one epoch before weights are updated.
help/doc trainlm
For sequential training all of the weights are updated after each training vector is sequentially passed through the training algorithm.
help/doc adapt
Hope this helps.
Thank you for formally accepting my answer
Greg
P.S. The comp.ai.neural-nets FAQ can very helpfull for understanding NN terminology and techniques.
Greg
Best Answer