524 search results - page 56 / 105 » Training Feedforward Neural Networks Using Genetic Algorithm... |
121
click to vote
APBC
2004
15 years 3 months ago
2004
Here we investigate an extension of a previously suggested "automatic amide I frequency selection procedure" where we introduce an additional criterion utilizing empiric...
160
click to vote
ICANN
2010
Springer
14 years 11 months ago
2010
Springer
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
105
click to vote
IJON
2008
15 years 1 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 ...
116
click to vote
BMCBI
2007
15 years 2 months ago
2007
Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
131
click to vote
ICANN
2005
Springer
15 years 7 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...