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» Some Structural Complexity Aspects of Neural Computation
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89
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ICANN
2005
Springer
15 years 3 months ago
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...
139
Voted
ICANN
2001
Springer
15 years 2 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola
IWANN
2005
Springer
15 years 3 months ago
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term alternative, other longer-term alternatives sho...
Hugues Berry, Olivier Temam
66
Voted
ESANN
2006
14 years 11 months ago
Cluster detection algorithm in neural networks
Complex networks have received much attention in the last few years, and reveal global properties of interacting systems in domains like biology, social sciences and technology. O...
David Meunier, Hélène Paugam-Moisy
IJSI
2010
84views more  IJSI 2010»
14 years 8 months ago
Computational Complexity and Anytime Algorithm for Inconsistency Measurement
Measuring inconsistency degrees of inconsistent knowledge bases is an important problem as it provides context information for facilitating inconsistency handling. Many methods hav...
Yue Ma, Guilin Qi, Guohui Xiao, Pascal Hitzler, Zu...