Title :
Adaptive behavior with fixed weights in RNN: an overview
Author :
Prokhorov, Danil V. ; Feldkarnp, L.A. ; Tyukin, Ivan Yu
Author_Institution :
Ford Res. Lab., Dearborn, MI, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
In this paper we review recent results on the adaptive behavior attained with fixed-weight recurrent neural networks (meta-learning). We argue that such behavior is a natural consequence of prior training
Keywords :
Boolean functions; adaptive systems; backpropagation; multilayer perceptrons; recurrent neural nets; time series; Boolean functions; adaptive behavior; backpropagation; fixed-weight; meta-learning; multilayer perceptrons; recurrent neural networks; time series; Equations; Feedback; Intelligent networks; Multilayer perceptrons; Recurrent neural networks;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007449
