| Neural networks in process fault diagnosis T Sorsa, HN Koivo, H Koivisto IEEE Transactions on systems, man, and cybernetics 21 (4), 815-825, 1991 | 495 | 1991 |
| A dynamically constrained multiobjective genetic fuzzy system for regression problems P Pulkkinen, H Koivisto IEEE Transactions on Fuzzy Systems 18 (1), 161-177, 2009 | 168 | 2009 |
| Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms P Pulkkinen, H Koivisto International Journal of Approximate Reasoning 48 (2), 526-543, 2008 | 131 | 2008 |
| Developing a bioaerosol detector using hybrid genetic fuzzy systems P Pulkkinen, J Hytönen, H Koivisto Engineering Applications of Artificial Intelligence 21 (8), 1330-1346, 2008 | 59 | 2008 |
| Circular correlation based identification of switching power converter with uncertainty analysis using fuzzy density approach T Roinila, T Helin, M Vilkko, T Suntio, H Koivisto Simulation Modelling Practice and Theory 17 (6), 1043-1058, 2009 | 58 | 2009 |
| Identification of interpretable and accurate fuzzy classifiers and function estimators with hybrid methods P Pulkkinen, H Koivisto Applied Soft Computing 7 (2), 520-533, 2007 | 38 | 2007 |
| Modelling of a pressure swing adsorption unit by deep learning and artificial Intelligence tools LMC Oliveira, H Koivisto, IGI Iwakiri, JM Loureiro, AM Ribeiro, ... Chemical Engineering Science 224, 115801, 2020 | 34 | 2020 |
| Optimized subtractive clustering for neuro-fuzzy models J Rantala, H Koivisto Advances in intelligent systems, fuzzy systems, evolutionary computation, 84-89, 2002 | 34 | 2002 |
| The Performance of OPC-UA Security Model at Field Device Level. O Post, J Seppälä, H Koivisto ICINCO-RA, 337-341, 2009 | 27 | 2009 |
| Model Reference Control In Inventory And Supply Chain Management The Implementation Of A More Suitable Cost Function H Rasku, J Rantala, H Koivisto Informatics in Control, Automation and Robotics I, 111-116, 2006 | 27 | 2006 |
| An adaptive neuro-fuzzy inference system as a soft sensor for viscosity in rubber mixing process S Merikoski, M Laurikkala, H Koivisto Advances in neural networks and applications, 287-291, 2001 | 26 | 2001 |
| Profiling Network Applications with Fuzzy C-Means Clustering and Self-Organizing Map. T Lampinen, H Koivisto, T Honkanen FSKD, 300-304, 2002 | 25 | 2002 |
| Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization IBR Nogueira, MAF Martins, R Requião, AR Oliveira, V Viena, H Koivisto, ... Computers & Industrial Engineering 135, 368-381, 2019 | 22 | 2019 |
| A quasi-virtual online analyser based on an artificial neural networks and offline measurements to predict purities of raffinate/extract in simulated moving bed processes IBR Nogueira, AM Ribeiro, R Requião, KV Pontes, H Koivisto, ... Applied Soft Computing 67, 29-47, 2018 | 22 | 2018 |
| A practical approach to model based neural network control H Koivisto Tampere University of Technology, 1995 | 22 | 1995 |
| Change detection of electric customer behavior based on AMR measurements T Chen, A Mutanen, P Järventausta, H Koivisto 2015 IEEE Eindhoven PowerTech, 1-6, 2015 | 20 | 2015 |
| Profiling network applications with fuzzy C-means and self-organizing maps T Lampinen, M Laurikkala, H Koivisto, T Honkanen Classification and clustering for knowledge discovery, 15-27, 2005 | 19 | 2005 |
| Properties of the neural network internal model controller H Koivisto, V Ruoppila, HN Koivo IFAC Proceedings Volumes 25 (10), 61-66, 1992 | 19 | 1992 |
| Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination IBR Nogueira, RPV Faria, R Requião, H Koivisto, MAF Martins, ... Computers & Chemical Engineering 119, 371-382, 2018 | 17 | 2018 |
| Optimization of neural network topologies using genetic algorithm AS Nissinen, HN Koivo, H Koivisto Intelligent Automation & Soft Computing 5 (3), 211-223, 1999 | 16 | 1999 |
