DocumentCode
2399921
Title
Interpretation of recurrent neural networks
Author
Pedersen, Morten With ; Larsen, Jan
Author_Institution
Dept. of Math. Modelling, Tech. Univ. Lyngby, Denmark
fYear
1997
fDate
24-26 Sep 1997
Firstpage
82
Lastpage
91
Abstract
This paper addresses techniques for interpretation and characterization of trained recurrent nets for time series problems. In particular, we focus on assessment of effective memory and suggest an operational definition of memory. Further we discuss the evaluation of learning curves. Various numerical experiments on time series prediction problems are used to illustrate the potential of the suggested methods
Keywords
learning (artificial intelligence); recurrent neural nets; time series; effective memory; learning curves; recurrent neural networks; time series prediction problems; trained recurrent nets; Control systems; Cost function; Feedforward systems; Fractals; Mathematical model; Neurofeedback; Phase measurement; Recurrent neural networks; Stability analysis; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing [1997] VII. Proceedings of the 1997 IEEE Workshop
Conference_Location
Amelia Island, FL
ISSN
1089-3555
Print_ISBN
0-7803-4256-9
Type
conf
DOI
10.1109/NNSP.1997.622386
Filename
622386
Link To Document