Wen Yu - Citegraph

Author Info

Name	Affiliation	Papers
WEN YU	CINVESTAV, IPN, Dept Automat Control, Mexico City 07360, DF, Mexico	38
Collaborators	Citations	PageRank
32	283	22.70
Referers	Referees	References
598	596	470

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100598

Publications (38 rows)

Collaborators (32 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Large data sets classification using convex---concave hull and support vector machine	5	0.40	2013
Convex and concave hulls for classification with support vector machine	11	0.53	2013
Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information	3	0.52	2013
Convex-Concave Hull for Classification with Support Vector Machine	1	0.36	2012
Optimization of fixed Wavelet Neural Networks	1	0.36	2011
Automated nonlinear system modelling with multiple neural networks	7	0.46	2011
PCA and neural networks-based soft sensing strategy with application in sodium aluminate solution	1	0.37	2011
Two-stage neural sliding-mode control of magnetic levitation in minimal invasive surgery	7	0.52	2011
Border samples detection for data mining applications using non convex hulls	4	0.45	2011
Fuzzy modelling via on-line support vector machines	3	0.40	2010
Cascade Process Modeling With Mechanism-Based Hierarchical Neural Networks	3	0.44	2010
A novel linear PID controller for an upper limb exoskeleton	9	0.73	2010
Neural sliding mode control with finite time convergence	0	0.34	2009
Recurrent neural networks training with stable bounding ellipsoid algorithm.	16	0.81	2009
Splice site detection in DNA sequences using a fast classification algorithm	3	0.38	2009
Some novel analysis and learning methods for neural networks—Selected papers from the 5th International Symposium on Neural Networks	0	0.34	2009
Online fuzzy modeling with structure and parameter learning	7	0.52	2009
Two-Stage Neural Observer for Mechanical Systems	8	0.60	2008
Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling	16	0.77	2008
Support Vector classification for large data sets by reducing training data with change of classes	7	0.64	2008
Robust Adaptive Control Via Neural Linearization And Four Types Of Compensation	0	0.34	2008
Non-Linear System Modelling Via Online Clustering And Fuzzy Support Vector Machines	5	0.64	2008
Support vector machine classification for large data sets via minimum enclosing ball clustering	45	1.78	2008
Passivity Analysis of Dynamic Neural Networks with Different Time-Scales	12	1.11	2007
System identification using hierarchical fuzzy neural networks with stable learning algorithm	7	0.54	2007
Stability Analysis of Nonlinear System Identification via Delayed Neural Networks	37	1.91	2007
Recurrent Fuzzy CMAC for Nonlinear System Modeling	1	0.35	2007
Some Stability Properties Of Dynamic Neural Networks With Different Time-Scales	7	0.60	2006
A new discrete-time sliding-mode control with neural identification	3	0.43	2006
Passivity analysis for neuro identifier with different time-scales	0	0.34	2006
Multiple recurrent neural networks for stable adaptive control.	22	1.07	2006
PD control of overhead crane systems with neural compensation	2	0.47	2006
Fuzzy neural identification by online clustering with application on crude oil blending	1	0.36	2006
Support vector machine classification based on fuzzy clustering for large data sets	16	0.87	2006
Dead-zone Kalman filter algorithm for recurrent neural networks	8	0.53	2005
Optimization of crude oil blending with neural networks	2	0.57	2004
System identification with state-space recurrent fuzzy neural networks	2	0.41	2004
Minimax control for discrete-time time-varying stochastic systems	1	0.44	2002