Yrjö Hiltunen - researchr alias

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Viewing Publication 1 - 20 from 20

2022

Combining Deep Learning Model and Evolutionary Optimization for Parameters Identification of NMR SignalIvan Ryzhikov, Ekaterina Nikolskaya, Yrjö Hiltunen. icpram 2022: 761-768 [doi]

2020

Risk Estimation in Data-driven Fault Prediction for a Biomass-fired Power PlantIvan Ryzhikov, Mika Liukkonen, Ari Kettunen, Yrjö Hiltunen. ijcci 2020: 423-429 [doi]

2013

2012

Modelling of Water Quality: An Application to a Water Treatment ProcessPetri Juntunen, Mika Liukkonen, Marja Pelo, Markku J. Lehtola, Yrjö Hiltunen. acisc, 2012, 2012. [doi]

Computational intelligence in mass soldering of electronics - A surveyMika Liukkonen, Elina Havia, Yrjö Hiltunen. eswa, 39(10):9928-9937, 2012. [doi]

2011

2010

Analysis of Flue Gas Emission Data from Fluidized Bed Combustion Using Self-Organizing MapsMika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Teri Hiltunen, Yrjö Hiltunen. acisc, 2010, 2010. [doi]

2008

SOM-Based Modelling for an Activated Sludge Treatment ProcessMikko Heikkinen, Tomi Latvala, Esko Juuso, Yrjö Hiltunen. uksim 2008: 224-229 [doi]

Neural networks in process life cycle profit modellingTeemu Räsänen, Risto Soukka, Sami Kokki, Yrjö Hiltunen. eswa, 35(3):604-610, 2008. [doi]

2007

Self-Organizing Maps for Analysis of Expandable Polystyrene Batch ProcessMikko Heikkinen, Ville Nurminen, Yrjö Hiltunen. ijccc, 2(2):143-148, 2007. [doi]

2005

SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy PlantMikko Heikkinen, Ari Kettunen, Eero Niemitalo, Reijo Kuivalainen, Yrjö Hiltunen. icann 2005: 409-414 [doi]

2003

Quantification of Human Brain Metabolites from In Vivo 1H NMR Magnitude Spectra Using Self-Organising MapsJuhani Pulkkinen, Mika Lappalainen, Anna-Maija Häkkinen, Nina Lundbom, Risto A. Kauppinen, Yrjö Hiltunen. ideal 2003: 522-529 [doi]

2002

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