Can somebody please point me to a published paper or a book where they discuss
on how to readily code or implement a real time recurrent neural network
algorithm. It could be using gradient decent or discrete extended kalman filter.
I need to use this for a signal estimation problem. My RTRL has one input (the
input to estimate) which varies at random and one output. Please do not direct
me towards references like Neural Networks: A Comprehensive Overview by Simon
Hayken. Although the book is great to understand the concepts I found it a bit
challenging to actually code the algorithm in matlab. Any help is greatly
appreciated.
Cheers,
Don Jacob
