J. Manuel Cano Izquierdo

Publication Activity (10 Years)

Years Active: 1995-2016
Publications (10 Years): 2

Top Topics

Classifier Systems

Takagi Sugeno Kang

Voting Strategy

Top Venues

IEEE Trans Autom. Sci. Eng.

J. Intell. Fuzzy Syst.

Expert Syst. Appl.

Publications

Juan Antonio Martínez León, J. Manuel Cano Izquierdo, Julio Ibarrola
Are low cost Brain Computer Interface headsets ready for motor imagery applications? Expert Syst. Appl. 49 (2016)
Miguel Almonacid, Julio Ibarrola, J. Manuel Cano Izquierdo
Voting Strategy to Enhance Multimodel EEG-Based Classifier Systems for Motor Imagery BCI. IEEE Syst. J. 10 (3) (2016)
J. Manuel Cano Izquierdo, Miguel Pinzolas, Eduardo Gómez-Sánchez, Marcos J. Araúzo-Bravo, Julio Ibarrola
How well Fuzzy ARTMAP approximates functions? J. Intell. Fuzzy Syst. 25 (2) (2013)
J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid Kroeger
Control Loop Performance Assessment With a Dynamic Neuro-Fuzzy Model (dFasArt). IEEE Trans Autom. Sci. Eng. 9 (2) (2012)
Ana Toledo Moreo, Rafael Toledo-Moreo, J. Manuel Cano Izquierdo, Miguel Pinzolas-Prado
Maneuver prediction for road vehicles based on a novel neuro-fuzzy dynamic architecture. Robotics Auton. Syst. 58 (12) (2010)
Rafael Toledo-Moreo, Miguel Pinzolas-Prado, J. Manuel Cano Izquierdo
Maneuver Prediction for Road Vehicles Based on a Neuro-Fuzzy Architecture With a Low-Cost Navigation Unit. IEEE Trans. Intell. Transp. Syst. 11 (2) (2010)
J. Manuel Cano Izquierdo, Miguel Almonacid, J. J. Ibarrola
Applying neuro-fuzzy model dFasArt in control systems. Eng. Appl. Artif. Intell. 23 (7) (2010)
Ana Toledo Moreo, Rafael Toledo-Moreo, J. Manuel Cano Izquierdo
A New Metric for Supervised dFasArt Based on Size-Dependent Scatter Matrices That Enhances Maneuver Prediction in Road Vehicles. IWINAC (2) (2009)
J. Manuel Cano Izquierdo, Miguel Almonacid, Miguel Pinzolas, Julio Ibarrola
dFasArt: Dynamic neural processing in FasArt model. Neural Networks 22 (4) (2009)
J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Pinzolas, Miguel Almonacid
dNSP: A biologically inspired dynamic Neural network approach to Signal Processing. Neural Networks 21 (7) (2008)
J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid
Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt. IWINAC (2) (2007)
Rafael Toledo, Miguel Pinzolas, J. Manuel Cano Izquierdo
Supervised dFasArt: A Neuro-fuzzy Dynamic Architecture for Maneuver Detection in Road Vehicle Collision Avoidance Support Systems. IWINAC (2) (2007)
Eduardo Gómez-Sánchez, Yannis A. Dimitriadis, J. Manuel Cano Izquierdo, Juan López Coronado
μARTMAP: use of mutual information for category reduction in Fuzzy ARTMAP. IEEE Trans. Neural Networks 13 (1) (2002)
J. Manuel Cano Izquierdo, Yannis A. Dimitriadis, Eduardo Gómez-Sánchez, Juan López Coronado
Learning from noisy information in FasArt and FasBack neuro-fuzzy systems. Neural Networks 14 (4-5) (2001)
Eduardo Gómez-Sánchez, Yannis A. Dimitriadis, M. Sánchez-Reyes Más, P. Sánchez Gracía, J. Manuel Cano Izquierdo, Juan López Coronado
On-Line Character Analysis and Recognition With Fuzzy Neural Networks. Intell. Autom. Soft Comput. 7 (3) (2001)
Eduardo Gómez-Sánchez, Yannis A. Dimitriadis, J. Manuel Cano Izquierdo, Juan López Coronado
MicroARTMAP: Use of Mutual Information for Category Reduction in Fuzzy ARTMAP. IJCNN (6) (2000)
Eduardo Gómez-Sánchez, J. A. Gago González, Yannis A. Dimitriadis, J. Manuel Cano Izquierdo, Juan López Coronado
Experimental study of a novel neuro-fuzzy system for on-line handwritten UNIPEN digit recognition. Pattern Recognit. Lett. 19 (3-4) (1998)
R. Sanz Guadarrama, Yannis A. Dimitriadis, Gregorio Ismael Sainz Palmero, J. Manuel Cano Izquierdo, Juan López Coronado
Building Digital Libraries from Paper Documents, Using ART Based Neuro-Fuzzy Systems. IWANN (1997)
Gregorio Ismael Sainz Palmero, J. Manuel Cano Izquierdo, Yannis A. Dimitriadis, Juan López Coronado
A new neuro-fuzzy system for logical labeling of documents. ICPR (1996)
J. Pérez Maroto, Yannis A. Dimitriadis, J. Manuel Cano Izquierdo, Juan López Coronado
Analysis and Application of the STORE Neural Model in Recognizing Handwritten Symbols. IWANN (1995)