550 search results - page 32 / 110 » Development of Neural Network Structure with Biological Mech... |
CAD
2005
Springer
14 years 9 months ago
2005
Springer
Performance of various functions of the tissue structure depends on porous scaffold microstructures with specific porosity characteristics that influence the behavior of the incor...
124
Voted
BMCBI
2005
14 years 9 months ago
2005
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
100
Voted
CMSB
2011
Springer
13 years 9 months ago
2011
Springer
Abstract. This paper tackles theoretically the question of the structural stability of biological regulation networks subjected to the influence of their environment. The model of...
65
Voted
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
93
Voted
DAGM
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...