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Agustín Gajate
Publication Activity (10 Years)
Years Active: 2009-2012
Publications (10 Years): 0
Top Topics
Discrete Hidden Markov Models
Manufacturing Processes
Bayes Error
K Nearest Neighbour
Top Venues
IEEE Trans. Ind. Informatics
J. Intell. Manuf.
Brain Informatics
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Publications
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Agustín Gajate
,
Rodolfo E. Haber
,
Raúl M. del Toro
,
Pastora I. Vega
,
Andrés Bustillo
Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process.
J. Intell. Manuf.
23 (3) (2012)
Francisco Penedo
,
Rodolfo E. Haber
,
Agustín Gajate
,
Raúl M. del Toro
Hybrid Incremental Modeling Based on Least Squares and Fuzzy $K$-NN for Monitoring Tool Wear in Turning Processes.
IEEE Trans. Ind. Informatics
8 (4) (2012)
Rodolfo Haber-Guerra
,
Alfonso Sánchez Boza
,
Agustín Gajate
,
Raúl M. del Toro
Modified Shared Circuits Model for Manufacturing Processes Control: - From Psychology and Neuroscience to a Computational Solution.
Brain Informatics
(2012)
Alfonso Sánchez Boza
,
Rodolfo Haber-Guerra
,
Agustín Gajate
Artificial cognitive control system based on the shared circuits model of sociocognitive capacities. A first approach.
Eng. Appl. Artif. Intell.
24 (2) (2011)
Joshué Pérez
,
Agustín Gajate
,
Vicente Milanés Montero
,
Enrique Onieva
,
Matilde Santos
Design and implementation of a neuro-fuzzy system for longitudinal control of autonomous vehicles.
FUZZ-IEEE
(2010)
Rodolfo E. Haber
,
Raúl M. del Toro
,
Agustín Gajate
Optimal fuzzy control system using the cross-entropy method. A case study of a drilling process.
Inf. Sci.
180 (14) (2010)
Agustín Gajate
,
Rodolfo E. Haber
,
Pastora I. Vega
,
José R. Alique
A transductive neuro-fuzzy controller: application to a drilling process.
IEEE Trans. Neural Networks
21 (7) (2010)
Agustín Gajate
,
Rodolfo E. Haber
,
José R. Alique
,
Pastora I. Vega
Transductive-Weighted Neuro-Fuzzy Inference System for Tool Wear Prediction in a Turning Process.
HAIS
(2009)
Agustín Gajate
,
Rodolfo E. Haber
,
Pastora I. Vega
A Transductive Neuro-Fuzzy Force Control: An Ethernet-Based Application to a Drilling Process.
ICONIP (2)
(2009)