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» The Emergent neural modeling system
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ITNG
2010
IEEE
14 years 8 months ago
Scalable Intrusion Detection with Recurrent Neural Networks
The ever-growing use of the Internet comes with a surging escalation of communication and data access. Most existing intrusion detection systems have assumed the one-size-fits-all...
Longy O. Anyanwu, Jared Keengwe, Gladys A. Arome
ECAI
2004
Springer
15 years 3 months ago
Emergence of Complex Networks through Local Optimization
Abstract. The emergence of complex network structures of relationships between autonomous agents occurs in a wide range of distributed systems. Many researchers have proposed model...
Josep M. Pujol, Andreas Flache, Ramon Sangües...
WWW
2003
ACM
15 years 10 months ago
The chatty web: emergent semantics through gossiping
This paper describes a novel approach for obtaining semantic interoperability among data sources in a bottom-up, semiautomatic manner without relying on pre-existing, global seman...
Karl Aberer, Manfred Hauswirth, Philippe Cudr&eacu...
CCE
2006
14 years 9 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
84
Voted
JCP
2008
190views more  JCP 2008»
14 years 9 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