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» Introduction to artificial neural networks
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KI
2007
Springer
14 years 2 months ago
A General Framework for Encoding and Evolving Neural Networks
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...
IWINAC
2005
Springer
14 years 1 months ago
Estimation of Fuel Moisture Content Using Neural Networks
Fuel moisture content (FMC) is one of the variables that drive fire danger. Artificial Neural Networks (ANN) were tested to estimate FMC by calculating the two variables implicat...
David Riaño, S. L. Ustin, L. Usero, Miguel ...
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
ESWA
2008
204views more  ESWA 2008»
13 years 8 months ago
A comparison of neural network and multiple regression analysis in modeling capital structure
Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, how...
Hsiao-Tien Pao
SOCO
2008
Springer
13 years 8 months ago
A face recognition system based on Pseudo 2D HMM applied to neural network coefficients
Face recognition from an image or video sequences is emerging as an active research area with numerous commercial and law enforcement applications. In this paper different Pseudo 2...
Vitoantonio Bevilacqua, Lucia Cariello, Gaetano Ca...