Sciweavers

224 search results - page 22 / 45
» Artificial Neural Networks to Predict Daylily Hybrids
Sort
View
FLAIRS
2004
13 years 10 months ago
Decision Tree Extraction from Trained Neural Networks
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
Darren Dancey, David McLean, Zuhair Bandar
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
14 years 2 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa
IEAAIE
2005
Springer
14 years 2 months ago
Predicting Construction Litigation Outcome Using Particle Swarm Optimization
Construction claims are normally affected by a large number of complex and interrelated factors. It is highly desirable for the parties to a dispute to know with some certainty how...
Kwok-wing Chau
ICDAR
1999
IEEE
14 years 28 days ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
AI
2005
Springer
13 years 8 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda