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IJCNN
2006
IEEE
14 years 4 months ago
Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefac
—In the past decade, artificial neural networks (ANNs) have been widely applied to the engineering problems with a complicated system. ANNs are becoming an important alternative ...
Deaho Cha, Michael Blumenstein, Hong Zhang, Dong-S...
QEST
2006
IEEE
14 years 4 months ago
Measuring and Modeling of Application Flow Length in Commercial GPRS Networks
New mobile access networks provide reasonable high bandwidth to allow true internet access. This paper models two dominant applications of those networks. One application, WAP, is...
Roger Kalden, Boudewijn R. Haverkort
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 3 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
MICCAI
2004
Springer
14 years 3 months ago
An Anisotropic Material Model for Image Guided Neurosurgery
In order to combine preoperative data with intraoperative scans for image-guided neurosurgery visualization, accurate registration is necessary. It has been determined previously t...
Corey Kemper, Ion-Florin Talos, Alexandra Golby, P...
DAGM
2003
Springer
14 years 3 months ago
Training and Recognition of Complex Scenes Using a Holistic Statistical Model
We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...