11
TITLE: Artificial neural networks for modeling in reaction process systems  Full Text
AUTHORS: Cristina Oliveira; Petia Georgieva ; Fernando Rocha ; Sebastiao Feyo de Azevedo ;
PUBLISHED: 2009, SOURCE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 18, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 9
IN MY: ORCID
12
TITLE: Computationally efficient process control with neural network-based predictive models  Full Text
AUTHORS: Suarez, LA; Georgieva, P ; de Azevedo, SF ;
PUBLISHED: 2009, SOURCE: International Joint Conference on Neural Networks in IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6
INDEXED IN: Scopus WOS CrossRef: 1
IN MY: ORCID
13
TITLE: Intelligent Predictive Control - Application to Scheduled Crystallization Processes
AUTHORS: Luis Alberto Paz Suarez; Petia Georgieva ; Sebastiao Feyo de Azevedo ;
PUBLISHED: 2009, SOURCE: International Conference on Adaptive and Intelligent SystemsInternational Conference of Advances in Environmental Forensics in PROCEEDINGS 2009 INTERNATIONAL CONFERENCE ON ADAPTIVE AND INTELLIGENT SYSTEMS, ICAIS 2009
INDEXED IN: Scopus WOS CrossRef: 2
IN MY: ORCID
14
TITLE: Novel computational methods for modeling and control in chemical and biochemical process systems
AUTHORS: Georgieva, P ; de Azevedo, SF ;
PUBLISHED: 2009, SOURCE: Studies in Computational Intelligence, VOLUME: 218
INDEXED IN: Scopus CrossRef: 5
IN MY: ORCID
15
TITLE: Bioprocess hybrid parametric/nonparametric modelling based on the concept of mixture of experts  Full Text
AUTHORS: Peres, J ; Oliveira, R ; Feyo F de Azevedo ;
PUBLISHED: 2008, SOURCE: BIOCHEMICAL ENGINEERING JOURNAL, VOLUME: 39, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
16
TITLE: Modelling agglomeration degree in sucrose crystallisation  Full Text
AUTHORS: Faria, N; Feyo F de Azevedo ; Rocha, FA ; Pons, MN;
PUBLISHED: 2008, SOURCE: CHEMICAL ENGINEERING AND PROCESSING, VOLUME: 47, ISSUE: 9-10
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
17
TITLE: Neural network - based estimation of reaction rates with partly unknown states and completely known kinetics coefficients
AUTHORS: Petia Georgieva ; Sebastiao Feyo de Azevedo ;
PUBLISHED: 2008, SOURCE: 4th International IEEE Conference Intelligent Systems in 2008 4TH INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, VOLUME: 1
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
18
TITLE: Dynamical model of brushite precipitation  Full Text
AUTHORS: Cristina Oliveira; Petia Georgieva ; Fernando Rocha ; A. Ferreira ; Sebastiao Feyo de Azevedo ;
PUBLISHED: 2007, SOURCE: JOURNAL OF CRYSTAL GROWTH, VOLUME: 305, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 20
IN MY: ORCID
19
TITLE: Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients  Full Text
AUTHORS: Petia Georgieva ; Cristina Oliveira; Femando Rocha ; Sebastiao Feyo de Azevedo ;
PUBLISHED: 2007, SOURCE: International Joint Conference on Neural Networks in 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6
INDEXED IN: Scopus WOS CrossRef: 2
IN MY: ORCID
20
TITLE: Application of Feed Forward Neural Networks in Modeling and Control of a Fed-Batch Crystallization Process
AUTHORS: Petia Georgieva ; Sebastiao Feyo de Azevedo ;
PUBLISHED: 2006, SOURCE: Conference of the World-Academy-of-Science-Engineering-and-Technology in PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 12, VOLUME: 12
INDEXED IN: WOS
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