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ICANN
2001
Springer
14 years 1 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
NC
1998
102views Neural Networks» more  NC 1998»
13 years 10 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
IJON
2002
154views more  IJON 2002»
13 years 8 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
NN
2006
Springer
13 years 9 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
COMPSAC
2005
IEEE
14 years 2 months ago
Considerations on a New Software Architecture for Distributed Environments Using Autonomous Semantic Agents
Distributed processing environments such as that of a traffic management network system (TMS) can be implemented easier, faster, and secure and perform better through use of auton...
Atilla Elçi, Behnam Rahnama