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» Co-evolving Multilayer Perceptrons Along Training Sets
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EVOW
2008
Springer
13 years 8 months ago
Architecture Performance Prediction Using Evolutionary Artificial Neural Networks
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
Pedro A. Castillo, Antonio Miguel Mora, Juan Juli&...
IJIT
2004
13 years 8 months ago
Mobile Robot Navigation Using Local Model Networks
Developing techniques for mobile robot navigation constitutes one of the major trends in the current research on mobile robotics. This paper develops a local model network (LMN) fo...
Hamdi A. Awad, Mohamed A. Al-Zorkany
IJON
2007
98views more  IJON 2007»
13 years 6 months ago
Convergent design of piecewise linear neural networks
Piecewise linear networks (PLNs) are attractive because they can be trained quickly and provide good performance in many nonlinear approximation problems. Most existing design alg...
Hema Chandrasekaran, Jiang Li, W. H. Delashmit, Pr...
CORR
2011
Springer
212views Education» more  CORR 2011»
13 years 1 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...
ICDAR
2003
IEEE
14 years 4 days ago
A Majority Voting Scheme for Multiresolution Recognition of Handprinted Numerals
This paper proposes a simple voting scheme for off-line recognition of handprinted numerals. One of the main features of the proposed scheme is that this is not script dependent. ...
Ujjwal Bhattacharya, B. B. Chaudhuri