Yrjö Hiltunen

23 papers C 5Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2022 C conf
Combining Deep Learning Model and Evolutionary Optimization for Parameters Identification of NMR Signal.
ICPRAM
Ivan Ryzhikov, Ekaterina Nikolskaya, Yrjö Hiltunen
2020 C conf
Risk Estimation in Data-driven Fault Prediction for a Biomass-fired Power Plant.
IJCCI
Ivan Ryzhikov, Mika Liukkonen, Ari Kettunen, Yrjö Hiltunen
2013 J jnl
A software platform for process monitoring: Applications to water treatment.
Expert Syst. Appl.
Mika Liukkonen, Petri Juntunen, Ilkka Laakso, Yrjö Hiltunen
2013 J jnl
Advanced monitoring platform for industrial wastewater treatment: Multivariable approach using the self-organizing map.
Environ. Model. Softw.
Mika Liukkonen, Ilkka Laakso, Yrjö Hiltunen
2013 J jnl
Cluster analysis by self-organizing maps: An application to the modelling of water quality in a treatment process.
Appl. Soft Comput.
Petri Juntunen, Mika Liukkonen, Markku J. Lehtola, Yrjö Hiltunen
2012 J jnl
Computational intelligence in mass soldering of electronics - A survey.
Expert Syst. Appl.
Mika Liukkonen, Elina Havia, Yrjö Hiltunen
2012 J jnl
Modelling of Water Quality: An Application to a Water Treatment Process.
Appl. Comput. Intell. Soft Comput.
Petri Juntunen, Mika Liukkonen, Marja Pelo, Markku J. Lehtola, Yrjö Hiltunen
2011 J jnl
Expert system for analysis of quality in production of electronics.
Expert Syst. Appl.
Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen
2011 J jnl
Modeling of the fluidized bed combustion process and NO
Environ. Model. Softw.
Mika Liukkonen, Teri Hiltunen, Eero Hälikkä, Yrjö Hiltunen
2011 J jnl
Quality-oriented optimization of wave soldering process by using self-organizing maps.
Appl. Soft Comput.
Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen
2011 J jnl
Subtraction analysis based on self-organizing maps for an industrial wastewater treatment process.
Math. Comput. Simul.
Mikko Heikkinen, H. Poutiainen, Mika Liukkonen, T. Heikkinen, Yrjö Hiltunen
2010 J jnl
Analysis of Flue Gas Emission Data from Fluidized Bed Combustion Using Self-Organizing Maps.
Appl. Comput. Intell. Soft Comput.
Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Teri Hiltunen, Yrjö Hiltunen
2009 J jnl
A modelling and optimization system for fluidized bed power plants.
Expert Syst. Appl.
Mikko Heikkinen, Teri Hiltunen, Mika Liukkonen, Ari Kettunen, Reijo Kuivalainen, Yrjö Hiltunen
2009 J jnl
Application of self-organizing maps in analysis of wave soldering process.
Expert Syst. Appl.
Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen
2009 — conf
Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps.
ICANNGA
Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Reijo Kuivalainen, Yrjö Hiltunen
2008 J jnl
Neural networks in process life cycle profit modelling.
Expert Syst. Appl.
Teemu Räsänen, Risto Soukka, Sami Kokki, Yrjö Hiltunen
2008 — conf
SOM-Based Modelling for an Activated Sludge Treatment Process.
UKSim
Mikko Heikkinen, Tomi Latvala, Esko Juuso, Yrjö Hiltunen
2007 J jnl
Self-Organizing Maps for Analysis of Expandable Polystyrene Batch Process.
Int. J. Comput. Commun. Control
Mikko Heikkinen, Ville Nurminen, Yrjö Hiltunen
2005 — conf
SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy Plant.
ICANN (1)
Mikko Heikkinen, Ari Kettunen, Eero Niemitalo, Reijo Kuivalainen, Yrjö Hiltunen
2003 C conf
Quantification of Human Brain Metabolites from In Vivo 1H NMR Magnitude Spectra Using Self-Organising Maps.
IDEAL
Juhani Pulkkinen, Mika Lappalainen, Anna-Maija Häkkinen, Nina Lundbom, Risto A. Kauppinen, Yrjö Hiltunen
2002 J jnl
Application of Quantitative Artificial Neural Network Analysis to 2D NMR Spectra of Hydrocarbon Mixtures.
J. Chem. Inf. Comput. Sci.
Taito Väänänen, Harri Koskela, Yrjö Hiltunen, Mika Ala-Korpela
2002 C conf
Application of Self-Organising Maps in Automated Chemical Shift Correction of In Vivo H MR Spectra.
IDEAL
Juhani Pulkkinen, Mika Lappalainen, Anna-Maija Häkkinen, Nina Lundbom, Risto A. Kauppinen, Yrjö Hiltunen
2002 C conf
Automated Personalisation of Internet Users Using Self-Organising Maps.
IDEAL
Yrjö Hiltunen, Mika Lappalainen