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CEC
2003
IEEE
16 years 5 hour ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
AMDO
2000
Springer
15 years 11 months ago
Analysis of Human Motion Using Snakes and Neural Networks
: A novel technique is described for analysing human movement in outdoor scenes. Following initial detection of the humans using active contour models, the contours are then re-rep...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
INCDM
2010
Springer
308views Data Mining» more  INCDM 2010»
15 years 8 months ago
Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool
We present rminer, our open source library for the R tool that facilitates the use of data mining (DM) algorithms, such as neural Networks (NNs) and support vector machines (SVMs),...
Paulo Cortez
ESANN
2007
15 years 8 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
APBC
2004
166views Bioinformatics» more  APBC 2004»
15 years 8 months ago
A Novel Method for Protein Subcellular Localization Based on Boosting and Probabilistic Neural Network.
Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization is needed for ...
Jian Guo, Yuanlie Lin, Zhirong Sun