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ORCIDNeurocomputing, Volume 262
Volume 262, November 2017
- Mahardhika Pratama
, Edwin Lughofer, Dianhui Wang:
Online real-time learning strategies for data streams for Neurocomputing. 1-3 - Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, Sreenatha G. Anavatti, Chee Peng Lim:
Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network. 4-27 - Junfei Qiao, Sanyi Li, Honggui Han, Dianhui Wang:
An improved algorithm for building self-organizing feedforward neural networks. 28-40 - Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani:
An evolving connectionist system for data stream fuzzy clustering and its online learning. 41-56 - José de Jesús Rubio:
USNFIS: Uniform stable neuro fuzzy inference system. 57-66 - Andrés L. Suárez-Cetrulo, Alejandro Cervantes:
An online classification algorithm for large scale data streams: iGNGSVM. 67-76 - Manuel Bouillon, Éric Anquetil:
Online active supervision of an evolving classifier for customized-gesture-command learning. 77-89 - Jacqueline Heinerman, Evert Haasdijk, A. E. Eiben:
Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams. 90-107 - Ing-Jr Ding, Yu-Jui Chang:
HMM with improved feature extraction-based feature parameters for identity recognition of gesture command operators by using a sensed Kinect-data stream. 108-119 - Elaheh Arabmakki, Mehmed M. Kantardzic:
SOM-based partial labeling of imbalanced data stream. 120-133 - Subutai Ahmad, Alexander Lavin, Scott Purdy, Zuha Agha:
Unsupervised real-time anomaly detection for streaming data. 134-147 - Franziska Bocklisch, Steffen F. Bocklisch, Matthias Beggiato, Josef F. Krems:
Adaptive fuzzy pattern classification for the online detection of driver lane change intention. 148-158
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