619 search results - page 8 / 124 » On computational limitations of neural network architectures |
CONTEXT
2001
Springer
13 years 12 months ago
2001
Springer
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
ISTCS
1993
Springer
13 years 11 months ago
1993
Springer
We pursue a particular approach to analog computation, based on dynamical systems of the type used in neural networks research. Our systems have a xed structure, invariant in time...
SOFTCO
2004
Springer
14 years 25 days ago
2004
Springer
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
RSCTC
2000
Springer
13 years 11 months ago
2000
Springer
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
ICANN
2011
Springer
12 years 11 months ago
2011
Springer
Mirror neurons are premotor neurons that are considered to play a role in goal-directed actions, action understanding and even social cognition. As one of the promising research ar...