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IJON
2008
118views more  IJON 2008»
15 years 2 months ago
Incremental extreme learning machine with fully complex hidden nodes
Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden nodes, IEEE Trans. Neural Networks 17(4) (2006) 879
Guang-Bin Huang, Ming-Bin Li, Lei Chen, Chee Kheon...
ECAL
2007
Springer
15 years 9 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
TON
2008
99views more  TON 2008»
15 years 2 months ago
On the computational complexity and effectiveness of N-hub shortest-path routing
Abstract-- In this paper we study the computational complexity and effectiveness of a concept we term "N-hub ShortestPath Routing" in IP networks. N-hub Shortest-Path Rou...
Reuven Cohen, Gabi Nakibly
IJBC
2006
99views more  IJBC 2006»
15 years 2 months ago
Complexity of Reaction-diffusion CNN
In this paper, a class of impulsive BAM fuzzy cellular neural networks with distributed delays and reaction-diffusion terms is formulated and investigated. By employing the delay d...
Makoto Itoh, Leon O. Chua
BMCBI
2008
131views more  BMCBI 2008»
15 years 3 months ago
Modifying the DPClus algorithm for identifying protein complexes based on new topological structures
Background: Identification of protein complexes is crucial for understanding principles of cellular organization and functions. As the size of protein-protein interaction set incr...
Min Li, Jianer Chen, Jianxin Wang, Bin Hu, Gang Ch...