Title :
Adaptive algorithm for training pRAM neural networks on unbalanced data sets
Author :
Ramanan, S. ; Clarkson, T.G. ; Taylor, J.G.
Author_Institution :
Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
fDate :
6/25/1998 12:00:00 AM
Abstract :
A novel algorithm for training pyramidal pRAM neural networks on an unbalanced training set is proposed. The behaviour of the standard reinforcement learning algorithm is analysed and an adaptive learning rate algorithm that modifies the reinforcement learning algorithm based on readily available a priori class probability is developed
Keywords :
feedforward neural nets; learning (artificial intelligence); a priori class probability; adaptive learning rate algorithm; feedforward neural nets; pyrimidal pRAM neural networks; standard reinforcement learning algorithm; unbalanced data sets;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980921
