14 search results - page 2 / 3 » A Hierarchical Method for Training Embedded Sigmoidal Neural... |
EMNLP
2010
13 years 2 months ago
2010
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
KES
2006
Springer
13 years 4 months ago
2006
Springer
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
IJACTAICIT
2010
12 years 11 months ago
2010
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
ICAPR
2001
Springer
13 years 9 months ago
2001
Springer
The current research efforts in the field of video parsing and analysis are mainly focused on the use of pictorial information, while neglecting an important supplementary source ...