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148
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JCP
2008
190views more  JCP 2008»
15 years 4 months ago
Real-time System Identification of Unmanned Aerial Vehicles: A Multi-Network Approach
In this paper, real-time system identification of an unmanned aerial vehicle (UAV) based on multiple neural networks is presented. The UAV is a multi-input multi-output (MIMO) nonl...
Vishwas R. Puttige, Sreenatha G. Anavatti
126
Voted
IJON
2000
71views more  IJON 2000»
15 years 4 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
152
Voted
IJON
2000
85views more  IJON 2000»
15 years 4 months ago
Hebbian learning and temporary storage in the convergence-zone model of episodic memory
The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This...
Michael Howe, Risto Miikkulainen
SASO
2009
IEEE
15 years 11 months ago
Myconet: A Fungi-Inspired Model for Superpeer-Based Peer-to-Peer Overlay Topologies
Abstract—Unstructured peer-to-peer networks can be extremely flexible, but, because of size, complexity, and high variability in peers’ capacity and reliability, it is a conti...
Paul L. Snyder, Rachel Greenstadt, Giuseppe Valett...
ICNC
2005
Springer
15 years 10 months ago
Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture
This paper incorporates robustness into neural network modeling and proposes a novel two-phase robustness analysis approach for determining the optimal feedforward neural network (...
Lean Yu, Kin Keung Lai, Shouyang Wang