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» Efficient evolution of ART neural networks
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EOR
2008
111views more  EOR 2008»
13 years 4 months ago
Machine-part cell formation in group technology using a modified ART1 method
Group Technology (GT) is a useful way of increasing the productivity for manufacturing high quality products and improving the flexibility of manufacturing systems. Cell formation...
Miin-Shen Yang, Jenn-Hwai Yang
APPINF
2003
13 years 6 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
ECAL
2007
Springer
13 years 8 months ago
Evolution of Neural Networks for Active Control of Tethered Airfoils
Recent development in tethered airfoil i.e. kite technology allows the possibility of exploitation of wind energy at higher altitudes than achievable with traditional wind turbines...
Allister Furey, Inman Harvey
AMC
2008
99views more  AMC 2008»
13 years 4 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
ECAL
1995
Springer
13 years 8 months ago
Evolving Artificial Neural Networks that Develop in Time
Although recently there has been an increasing interest in studing genetically-based development using Artificial Life models, the mapping of the genetic information into the phen...
Stefano Nolfi, Domenico Parisi