195 search results - page 8 / 39 » Adaptive Algorithms for Neural Network Supervised Learning: ... |
NCA
2007
IEEE
13 years 7 months ago
2007
IEEE
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
ICANN
2009
Springer
14 years 2 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...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
EVOW
2007
Springer
14 years 1 months ago
2007
Springer
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
SAB
2010
Springer
13 years 5 months ago
2010
Springer
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...