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» Evolving a neural network using dyadic connections
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PPSN
2004
Springer
14 years 1 months ago
A Neuroevolutionary Approach to Emergent Task Decomposition
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
IPSN
2007
Springer
14 years 1 months ago
Wireless localization using self-organizing maps
Localization is an essential service for many wireless sensor network applications. While several localization schemes rely on anchor nodes and range measurements to achieve fine...
Gianni Giorgetti, Sandeep K. S. Gupta, Gianfranco ...
NN
2007
Springer
267views Neural Networks» more  NN 2007»
13 years 7 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
ISCAS
2006
IEEE
116views Hardware» more  ISCAS 2006»
14 years 1 months ago
Neural network stream processing core (NnSP) for embedded systems
Abstract— NnSP is a stream-based programmable and codelevel statically reconfigurable processor for realization of neural networks in embedded systems. NnSP is provided with a n...
Hadi Esmaeilzadeh, Pooya Saeedi, Babak Nadjar Araa...
TNN
1998
111views more  TNN 1998»
13 years 7 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos