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110
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ESANN
2000
15 years 4 months ago
A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
Piero A. Gili, Manuela Battipede
153
Voted
DMIN
2006
133views Data Mining» more  DMIN 2006»
15 years 4 months ago
A Fuzzy Neural Based Data Classification System
Data mining has emerged to be a very important research area that helps organizations make good use of the tremendous amount of data they have. In data classification tasks, fuzzy ...
Luong Trung Tuan, Suet Peng Yong
123
Voted
EVOW
2009
Springer
15 years 7 months ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun
CORR
2010
Springer
169views Education» more  CORR 2010»
15 years 3 months ago
Spiking Neurons with ASNN Based-Methods for the Neural Block Cipher
Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
Saleh Ali K. Al-Omari, Putra Sumari
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
15 years 10 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde