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» Evolving Artificial Neural Networks that Develop in Time
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NN
2000
Springer
192views Neural Networks» more  NN 2000»
14 years 11 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
ICIP
2004
IEEE
16 years 1 months ago
Online face recognition system for videos based on modified probabilistic neural networks
Video retrieval in consumer applications demands high level semantic descriptors such as people's identity. The problem is that in a variety of videos such as home videos, Ho...
Jun Fan, Nevenka Dimitrova, Vasanth Philomin
IJCNN
2006
IEEE
15 years 5 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
CEC
2008
IEEE
15 years 6 months ago
Fitness functions for the unconstrained evolution of digital circuits
— This work is part of a project that aims to develop and operate integrated evolvable hardware systems using unconstrained evolution. Experiments are carried out on an evolvable...
Tüze Kuyucu, Martin Trefzer, Andrew J. Greens...
AUSAI
2006
Springer
15 years 3 months ago
Robust Character Recognition Using a Hierarchical Bayesian Network
There is increasing evidence to suggest that the neocortex of the mammalian brain does not consist of a collection of specialised and dedicated cortical architectures, but instead ...
John Thornton, Torbjorn Gustafsson, Michael Blumen...