Error-backpropagation in temporally encoded networks of spiking ...

Abstract?Dynamical networks are versatile models that describe a variety of behaviours such as synchronisation and feedback. However, applying these models ...







Backpropagation and Reinforcement Learning - Washington
The backpropagation algorithm can be adapted to operate on the TD error for training. The Backpropagation Algorithm. Normally, the ...
Performance Analysis of a New Updating Rule for TD( ) Learning in ...
In this paper, a new learning rule for applying TD( ) to backpropagation network is derived. A simple backpropagation network is trained with TD( ) learning to ...
Time-Domain Learned Digital Back-Propagation - UCL Discovery
In this work, we experimentally demonstrate, for the first time, learned time-domain digital back-propagation. First, the method of training the required time- ...



Autres Cours:

Reinforcement Learning