128 search results - page 2 / 26 » Recurrent Neural Networks with Iterated Function Systems Dyn... |
CIMCA
2005
IEEE
13 years 11 months ago
2005
IEEE
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
NN
2011
Springer
12 years 8 months ago
2011
Springer
Neurodynamical models of working memory (WM) should provide mechanisms for storing, maintaining, retrieving, and deleting information. Many models address only a subset of these a...
TNN
1998
13 years 5 months ago
1998
Abstract—A new modular recurrent neural network (MRNN)based speech-recognition method that can recognize the entire vocabulary of 1280 highly confusable Mandarin syllables is pro...
SBRN
2008
IEEE
13 years 11 months ago
2008
IEEE
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
IJON
2008
13 years 5 months ago
2008
In this paper, an approach to solving the classical Traveling Salesman Problem (TSP) using a recurrent network of linear threshold (LT) neurons is proposed. It maps the classical ...