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Zamarreño, Jesús M.
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ResearcherID: A-8426-2008
URL: http://www.researcherid.com/rid/A-8426-2008
Subject: Computer Science; Education & Educational Research; Engineering; Instruments & Instrumentation; Science & Technology - Other
My Institutions (more details)
Primary Institution:
Sub-org/Dept: Ingeniería de Sistemas y Automática
Role:
 

Publications

My Publications (7)

 
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publication(s)  
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1. Title: Neural predictive control. Application to a highly non-linear system
Author(s): ZAMARRENO, JM; VEGA, P
Source: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE Volume: 12 Issue: 2 Pages: 149-158 Published: APR 1999
Times Cited: 28
added
12-Mar-08
2. Title: State space neural network. Properties and application
Author(s): ZAMARRENO, JM; VEGA, P
Source: NEURAL NETWORKS Volume: 11 Issue: 6 Pages: 1099-1112 Published: AUG 1998
Times Cited: 22
added
12-Mar-08
3. Title: Prediction of hourly energy consumption in buildings based on a feedback artificial neural network
Author(s): GONZALEZ, PA; ZAMARRENO, JA
Source: ENERGY AND BUILDINGS Volume: 37 Issue: 6 Pages: 595-601 Published: JUN 2005
Times Cited: 13
DOI: 10.1016/j.enbuild.2004.09.006
added
12-Mar-08
4. Title: State-space neural network for modelling, prediction and control
Author(s): ZAMARRENO, JM; VEGA, P; GARCIA, LD; et al.
Source: CONTROL ENGINEERING PRACTICE Volume: 8 Issue: 9 Pages: 1063-1075 Published: SEP 2000
Times Cited: 11
added
12-Mar-08
5. Title: Identification and predictive control of a melter unit used in the sugar industry
Author(s): ZAMARRENO, JM; VEGA, P
Source: ARTIFICIAL INTELLIGENCE IN ENGINEERING Volume: 11 Issue: 4 Pages: 365-373 Published: OCT 1997
Times Cited: 6
added
12-Mar-08
6. Title: A short-term temperature forecaster based on a state space neural network
Author(s): LANZA, PAG; COSME, JMZ
Source: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE Volume: 15 Issue: 5 Pages: 459-464 Published: SEP 2002
Times Cited: 3
DOI: 10.1016/S0952-1976(02)00089-1
added
12-Mar-08
7. Title: Modeling photosynthetically oxygenated biodegradation processes using artificial neural networks
Author(s): ARRANZ, A.; BORDEL, S.; VILLAVERDE, S.; et al.
Source: Journal of Hazardous Materials Volume: 155 Issue: 1-2 Pages: 51-57 Published: 2008
added
02-Dec-08
publication(s)  
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