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» Combining Neural Networks and Fuzzy Controllers
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WSOM
2009
Springer
15 years 6 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
IJON
2002
154views more  IJON 2002»
14 years 11 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
EUSFLAT
2003
143views Fuzzy Logic» more  EUSFLAT 2003»
15 years 1 months ago
Prediction of surface roughness in ultraprecision turning using fuzzy logic
Ultraprecision turning is a manufacturing process used to generate a high surface roughness in precision components, and its input-output relationships are highly nonlinear. Surfa...
Arup Kumar Nandi
IJCNN
2008
IEEE
15 years 6 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule