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» Indirect Encoding of Neural Networks for Scalable Go
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CORR
2002
Springer
100views Education» more  CORR 2002»
13 years 6 months ago
A neural model for multi-expert architectures
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fr...
Marc Toussaint
IWSOS
2009
Springer
14 years 24 days ago
Laying Pheromone Trails for Balanced and Dependable Component Mappings
This paper presents an optimization framework for finding efficient deployment mappings of replicated service components (to nodes), while accounting for multiple services simult...
Máté J. Csorba, Hein Meling, Poul E....
ESWA
2006
114views more  ESWA 2006»
13 years 6 months ago
Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming
The paper demonstrates the efficient use of hybrid intelligent systems for solving the classification problem of bankruptcy. The aim of the study is to obtain classification schem...
Athanasios Tsakonas, Georgios Dounias, Michael Dou...
ICANNGA
2009
Springer
203views Algorithms» more  ICANNGA 2009»
14 years 25 days ago
NEAT in HyperNEAT Substituted with Genetic Programming
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
Zdenek Buk, Jan Koutník, Miroslav Snorek
IWANN
2011
Springer
12 years 9 months ago
Isometric Coding of Spiking Haptic Signals by Peripheral Somatosensory Neurons
Abstract. We study how primary tactile afferents encode relevant contact features to mediate early processing of haptic information. In this paper, we apply metrical information t...
Romain Brasselet, Roland S. Johansson, Angelo Arle...