Yrjö Hiltunen

According to our database, Yrjö Hiltunen authored at least 23 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Combining Deep Learning Model and Evolutionary Optimization for Parameters Identification of NMR Signal.

Ivan Ryzhikov, Ekaterina Nikolskaya, Yrjö Hiltunen

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2020

Risk Estimation in Data-driven Fault Prediction for a Biomass-fired Power Plant.

Ivan Ryzhikov, Mika Liukkonen, Ari Kettunen, Yrjö Hiltunen

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

2013

A software platform for process monitoring: Applications to water treatment.

Mika Liukkonen, Petri Juntunen, Ilkka Laakso, Yrjö Hiltunen

Expert Syst. Appl., 2013

Advanced monitoring platform for industrial wastewater treatment: Multivariable approach using the self-organizing map.

Mika Liukkonen, Ilkka Laakso, Yrjö Hiltunen

Environ. Model. Softw., 2013

Cluster analysis by self-organizing maps: An application to the modelling of water quality in a treatment process.

Petri Juntunen, Mika Liukkonen, Markku J. Lehtola, Yrjö Hiltunen

Appl. Soft Comput., 2013

2012

Computational intelligence in mass soldering of electronics - A survey.

Mika Liukkonen, Elina Havia, Yrjö Hiltunen

Expert Syst. Appl., 2012

Modelling of Water Quality: An Application to a Water Treatment Process.

Petri Juntunen, Mika Liukkonen, Marja Pelo, Markku J. Lehtola, Yrjö Hiltunen

Appl. Comput. Intell. Soft Comput., 2012

2011

Subtraction analysis based on self-organizing maps for an industrial wastewater treatment process.

Mikko Heikkinen, H. Poutiainen, Mika Liukkonen, T. Heikkinen, Yrjö Hiltunen

Math. Comput. Simul., 2011

Expert system for analysis of quality in production of electronics.

Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen

Expert Syst. Appl., 2011

Modeling of the fluidized bed combustion process and NO_x emissions using self-organizing maps: An application to the diagnosis of process states.

Mika Liukkonen, Teri Hiltunen, Eero Hälikkä, Yrjö Hiltunen

Environ. Model. Softw., 2011

Quality-oriented optimization of wave soldering process by using self-organizing maps.

Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen

Appl. Soft Comput., 2011

2010

Analysis of Flue Gas Emission Data from Fluidized Bed Combustion Using Self-Organizing Maps.

Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Teri Hiltunen, Yrjö Hiltunen

Appl. Comput. Intell. Soft Comput., 2010

2009

Application of self-organizing maps in analysis of wave soldering process.

Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen

Expert Syst. Appl., 2009

A modelling and optimization system for fluidized bed power plants.

Mikko Heikkinen, Teri Hiltunen, Mika Liukkonen, Ari Kettunen, Reijo Kuivalainen, Yrjö Hiltunen

Expert Syst. Appl., 2009

Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps.

Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Reijo Kuivalainen, Yrjö Hiltunen

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008

Neural networks in process life cycle profit modelling.

Teemu Räsänen, Risto Soukka, Sami Kokki, Yrjö Hiltunen

Expert Syst. Appl., 2008

SOM-Based Modelling for an Activated Sludge Treatment Process.

Mikko Heikkinen, Tomi Latvala, Esko Juuso, Yrjö Hiltunen

Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008

2007

Self-Organizing Maps for Analysis of Expandable Polystyrene Batch Process.

Mikko Heikkinen, Ville Nurminen, Yrjö Hiltunen

Int. J. Comput. Commun. Control, 2007

2005

SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy Plant.

Mikko Heikkinen, Ari Kettunen, Eero Niemitalo, Reijo Kuivalainen, Yrjö Hiltunen

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2003

Quantification of Human Brain Metabolites from In Vivo 1H NMR Magnitude Spectra Using Self-Organising Maps.

Juhani Pulkkinen, Mika Lappalainen, Anna-Maija Häkkinen, Nina Lundbom, Risto A. Kauppinen, Yrjö Hiltunen

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

2002

Application of Quantitative Artificial Neural Network Analysis to 2D NMR Spectra of Hydrocarbon Mixtures.

Taito Väänänen, Harri Koskela, Yrjö Hiltunen, Mika Ala-Korpela

J. Chem. Inf. Comput. Sci., 2002

Application of Self-Organising Maps in Automated Chemical Shift Correction of In Vivo H MR Spectra.

Juhani Pulkkinen, Mika Lappalainen, Anna-Maija Häkkinen, Nina Lundbom, Risto A. Kauppinen, Yrjö Hiltunen

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

Automated Personalisation of Internet Users Using Self-Organising Maps.

Yrjö Hiltunen, Mika Lappalainen

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002