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IJCAI
1989
13 years 8 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
VLSISP
2002
114views more  VLSISP 2002»
13 years 7 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
ICONIP
2008
13 years 8 months ago
Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting
Mass spectrometry (MS) is a key technique for the analysis and identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave...
Alexandra Scherbart, Wiebke Timm, Sebastian Bö...
FLAIRS
2004
13 years 8 months ago
An Application of Neural Networks to Sequence Analysis and Genre Identification
This study borrowed sequence analysis techniques from the genetic sciences and applied them to a similar problem in email filtering and web searching. Genre identification is the ...
David Bisant
IJCNN
2000
IEEE
13 years 11 months ago
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network
A self-organizing neural network for learning and recall of complex temporal sequences is proposed. we consider a single sequence with repeated items, or several sequences with a c...
Guilherme De A. Barreto, Aluizio F. R. Araú...