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JCP
2008
190views more  JCP 2008»
13 years 7 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
EUSFLAT
2007
183views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
Soft Computing in Wireless Sensors Networks
The embedded soft computing approach in wireless sensor networks is suggested. This approach means a combination of embedded fuzzy logic and neural networks models for information...
Alexey N. Averkin, A. G. Belenki
ASIAMS
2008
IEEE
14 years 1 months ago
HiNFRA: Hierarchical Neuro-Fuzzy Learning for Online Risk Assessment
Our previous research illustrated the design of fuzzy logic based online risk assessment for Distributed Intrusion Prediction and Prevention Systems (DIPPS) [3]. Based on the DIPP...
Kjetil Haslum, Ajith Abraham, Svein J. Knapskog
ESANN
2004
13 years 8 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger
EUSFLAT
2009
195views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Optimization of an Oil Production System using Neural Networks and Genetic Algorithms
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
Guillermo Jimenez de la Cruz, Jose A. Ruz-Hernande...