41 search results - page 1 / 9 » Evolving Memory Cell Structures for Sequence Learning |
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
ALIFE
1999
13 years 4 months ago
1999
A novel machine language genetic programming system that uses one-dimensional core memories is proposed and simulated. The core is compared to a biochemical reaction space, and in ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
ITC
2003
IEEE
13 years 10 months ago
2003
IEEE
Knowing, that the threshold voltage of the EEPROM memory cells is a key parameter to determine the overall performance of the memory, a build in structure to extract this informat...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...