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IJON
2008
118views more  IJON 2008»
15 years 22 days 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 7 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
85
Voted
TON
2008
99views more  TON 2008»
15 years 19 days 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
88
Voted
IJBC
2006
99views more  IJBC 2006»
15 years 22 days 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
124
Voted
BMCBI
2008
131views more  BMCBI 2008»
15 years 26 days 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...