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EAIS 2014: Linz, Austria
- 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014, Linz, Austria, June 2-4, 2014. IEEE 2014, ISBN 978-1-4799-3347-1
- Elena Ivannikova, Timo Hämäläinen
, Kari Luostarinen:
Variable group selection based on regression trees: Paper machine case study. 1-5 - Imen Khamassi, Moamar Sayed Mouchaweh:
Drift detection and monitoring in non-stationary environments. 1-6 - Thaddeus Eze
, Richard Anthony:
Dead-zone logic in autonomic systems. 1-8 - Radu-Emil Precup
, Marius-Csaba Sabau, Claudia-Adina Dragos
, Mircea-Bogdan Radac, Lucian-Ovidiu Fedorovici, Emil M. Petriu:
Particle Swarm Optimization of fuzzy models for Anti-Lock Braking Systems. 1-6 - Shahrazed Elmetennani, Taous-Meriem Laleg-Kirati
:
New fuzzy approximate model for indirect adaptive control of distributed solar collectors. 1-7 - Eneko Osaba, Roberto Carballedo
, Fernando Díaz, Enrique Onieva, Pedro López-García
, Asier Perallos:
On the influence of using initialization functions on genetic algorithms solving combinatorial optimization problems: A first study on the TSP. 1-6 - Ahmad Kalhor:
A self tuning regulator for nonlinear time varying control systems based on evolving linear models. 1-7 - Raul Rosa, Fernando A. C. Gomide, Dejan Dovzan, Igor Skrjanc:
Evolving neural network with extreme learning for system modeling. 1-7 - Dominik Wachholder, Chris Stary:
Context-sensitive modeling of input source configuration for evolving intelligent systems. 1-8 - N. H. Abd Rahim, Trevor P. Martin:
Support-based distance measurement between lattices. 1-8 - Nahit Pawar, Madhu N. Belur, Mani Bhushan, A. P. Tiwari, M. G. Kelkar, M. Pramanik, Virendra Singh:
A data-driven adaptive model-identification based large-scale sensor management system: Application to self powered neutron detectors. 1-7 - Thiago Akio Nakamura, André Paim Lemos:
A batch-incremental process fault detection and diagnosis using mixtures of probablistic PCA. 1-8 - Rashmi Dutta Baruah, Plamen Angelov
, Diganta Baruah:
Dynamically evolving clustering for data streams. 1-6 - Dejan Dovzan, Saso Blazic, Igor Skrjanc:
Towards evolving fuzzy reference controller. 1-8 - Andreas Buschermöhle, Werner Brockmann:
Reliable localized on-line learning in non-stationary environments. 1-7 - Dejan Petelin, Jus Kocijan:
Evolving Gaussian process models for predicting chaotic time-series. 1-8 - Manuel Bouillon, Éric Anquetil:
Man-machine cooperation for the on-line training of an evolving classifier. 1-7 - Niran Chawla:
Online information monitoring for utilizing hotel occupancy rate analysis. 1-5 - David Griol, José Antonio Iglesias
, Agapito Ledezma, Araceli Sanchis:
A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. 1-8 - Igor Skrjanc, Saso Blazic, Plamen Angelov
:
Robust evolving cloud-based PID control adjusted by gradient learning method. 1-8 - Igor Skrjanc, Dejan Dovzan, Fernando A. C. Gomide:
Evolving fuzzy-madel-based on c-regression clustering. 1-7 - Plamen Angelov
, Dmitry Kangin, Xiaowei Zhou, Denis Kolev:
Symbol recognition with a new autonomously evolving classifier autoclass. 1-7 - José Antonio Iglesias
, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Time series forecasting using Artificial Neural Networks vs. evolving models. 1-7 - Andrej Zdesar, Dejan Dovzan, Igor Skrjanc:
A 2 DOF predictive control based on evolving fuzzy model. 1-6 - José de Jesús Rubio, Luis Arturo Soriano, Wen Yu
, Jaime Pacheco:
Wind turbine modeling with an analytic algorithm. 1-3 - José de Jesús Rubio, Luis Arturo Soriano, Wen Yu
, Jaime Pacheco:
Wind turbine modeling with the slopes algorithm. 1-3 - Muhammad Sheraz, Mohammad A. Abido:
An efficient approach for parameter estimation of PV model using DE and fuzzy based MPPT controller. 1-5
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