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» Evolving Artificial Neural Networks that Develop in Time
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FLAIRS
2001
15 years 2 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
116
Voted
EPIA
2003
Springer
15 years 5 months ago
From Wheels to Wings with Evolutionary Spiking Circuits
We give an overview of the EPFL indoor flying project, whose goal is to evolve neural controllers for autonomous, adaptive, indoor micro-flyers. Indoor flight is still a challenge ...
Dario Floreano, Jean-Christophe Zufferey, Jean-Dan...
101
Voted
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 6 months ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah
98
Voted
IWANN
2009
Springer
15 years 7 months ago
Data Mining in Complex Diseases Using Evolutionary Computation
Abstract. A new algorithm is presented for finding genotype-phenotype association rules from data related to complex diseases. The algorithm was based on Genetic Algorithms, a tech...
Vanessa Aguiar, Jose A. Seoane, Ana Freire, Cristi...
ECAL
2007
Springer
15 years 6 months ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão