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AMC
2008
99views more  AMC 2008»
15 years 7 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
CIMCA
2005
IEEE
16 years 13 days ago
Orientation Selectivity of TAM Network with Extensive Receptive Field
— TAM (Topographic Attentive Mapping) network is a biologically-motivated neural network with Gabor function type receptive elds. However, the structure of receptive elds is a mon...
Isao Hayashi, James R. Williamson
FLAIRS
2006
15 years 8 months ago
Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks
In this paper, three approaches are presented for generating and validating sequences of different size neural nets. First, a growing method is given along with several weight ini...
Pramod Lakshmi Narasimha, Walter Delashmit, Michae...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 29 days ago
Evolving controllers for simulated car racing using object oriented genetic programming
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...
ICANN
2007
Springer
16 years 29 days ago
Separation and Recognition of Multiple Sound Source Using Pulsed Neuron Model
Many applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. However, one of the main difficulties of such kin...
Kaname Iwasa, Hideaki Inoue, Mauricio Kugler, Susu...