J. Manuel Cano Izquierdo

发表

How well Fuzzy ARTMAP approximates functions?

Eduardo Gómez-Sánchez, J. Manuel Cano Izquierdo, Miguel Pinzolas, 2013, J. Intell. Fuzzy Syst..

Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt

J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid Kroeger, 2007, IWINAC.

Voting Strategy to Enhance Multimodel EEG-Based Classifier Systems for Motor Imagery BCI

J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid Kroeger, 2016, IEEE Systems Journal.

On-Line Character Analysis and Recognition With Fuzzy Neural Networks

Yannis A. Dimitriadis, Eduardo Gómez-Sánchez, Juan López Coronado, 2001, Intell. Autom. Soft Comput..

A New Metric for Supervised dFasArt Based on Size-Dependent Scatter Matrices That Enhances Maneuver Prediction in Road Vehicles

J. Manuel Cano Izquierdo, Ana Toledo Moreo, Rafael Toledo-Moreo, 2009, IWINAC.

Analysis and Application of the STORE Neural Model in Recognizing Handwritten Symbols

Yannis A. Dimitriadis, Juan López Coronado, J. Manuel Cano Izquierdo, 1995, IWANN.

dNSP: A biologically inspired dynamic Neural network approach to Signal Processing

J. Manuel Cano Izquierdo, Miguel Pinzolas, Julio Ibarrola, 2008, Neural Networks.

Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI

J. Manuel Cano Izquierdo, Julio Ibarrola, Juan Antonio Martínez León, 2015, Comput. Intell. Neurosci..

Learning from noisy information in FasArt and FasBack neuro-fuzzy systems

Yannis A. Dimitriadis, Eduardo Gómez-Sánchez, Juan López Coronado, 2001, Neural Networks.

Maneuver prediction for road vehicles based on a novel neuro-fuzzy dynamic architecture

J. Manuel Cano Izquierdo, Ana Toledo Moreo, Rafael Toledo-Moreo, 2010, Robotics Auton. Syst..

Are low cost Brain Computer Interface headsets ready for motor imagery applications?

J. Manuel Cano Izquierdo, Julio Ibarrola, Juan Antonio Martínez León, 2016, Expert Syst. Appl..

Building Digital Libraries from Paper Documents, Using ART Based Neuro-Fuzzy Systems

Yannis A. Dimitriadis, Juan López Coronado, J. Manuel Cano Izquierdo, 1997, IWANN.

Control Loop Performance Assessment With a Dynamic Neuro-Fuzzy Model (dFasArt)

J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid Kroeger, 2012, IEEE Transactions on Automation Science and Engineering.

Applying neuro-fuzzy model dFasArt in control systems

J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Almonacid Kroeger, 2010, Eng. Appl. Artif. Intell..

Supervised dFasArt: A Neuro-fuzzy Dynamic Architecture for Maneuver Detection in Road Vehicle Collision Avoidance Support Systems

J. Manuel Cano Izquierdo, Miguel Pinzolas, Rafael Toledo, 2007, IWINAC.

Maneuver Prediction for Road Vehicles Based on a Neuro-Fuzzy Architecture With a Low-Cost Navigation Unit

Rafael Toledo-Moreo, J. Manuel Cano Izquierdo, Miguel Pinzolas-Prado, 2010, IEEE Transactions on Intelligent Transportation Systems.

MicroARTMAP: use of mutual information for category reduction in fuzzy ARTMAP

Yannis A. Dimitriadis, Eduardo Gómez-Sánchez, Juan López Coronado, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Experimental study of a novel neuro-fuzzy system for on-line handwritten UNIPEN digit recognition

Yannis A. Dimitriadis, Eduardo Gómez-Sánchez, Juan López Coronado, 1998, Pattern Recognit. Lett..

Artmap: Use of Mutual Information for Category Reduction in Fuzzy Artmap

Yannis A. Dimitriadis, Eduardo Gómez-Sánchez, Juan López Coronado, 2002 .

A new neuro-fuzzy system for logical labeling of documents

Yannis A. Dimitriadis, Juan López Coronado, J. Manuel Cano Izquierdo, 1996, Proceedings of 13th International Conference on Pattern Recognition.

dFasArt: Dynamic neural processing in FasArt model

J. Manuel Cano Izquierdo, Miguel Pinzolas, Julio Ibarrola, 2009, Neural Networks.