Henrik Saxén

32 papers A 1C 3Misc 1Journal 13Unranked 14
YearRankTypeTitle / Venue / Authors
2021 J jnl
Interfacial Area Transport Equation for Bubble Coalescence and Breakup: Developments and Comparisons.
Entropy
Huiting Chen, Shiyu Wei, Weitian Ding, Han Wei, Liang Li, Henrik Saxén, Hongming Long, Yaowei Yu
2016 J jnl
Identification of switching linear systems using self-organizing models with application to silicon prediction in hot metal.
Appl. Soft Comput.
John-Eric Saxén, Henrik Saxén, Hannu T. Toivonen
2013 J jnl
Data-Driven Time Discrete Models for Dynamic Prediction of the Hot Metal Silicon Content in the Blast Furnace - A Review.
IEEE Trans. Ind. Informatics
Henrik Saxén, Chuanhou Gao, Zhiwei Gao
2013 J jnl
Guest Editorial: Special section on data-driven approaches for complex industrial systems.
IEEE Trans. Ind. Informatics
Zhiwei Gao, Henrik Saxén, Chuanhou Gao
2010 — conf
A Data-Mining Method for Detection of Complex Nonlinear Relations Applied to a Model of Apoptosis in Cell Populations.
SEAL
Henrik Saxén, Frank Pettersson
2009 — conf
A Methodology for Developing Nonlinear Models by Feedforward Neural Networks.
ICANNGA
Henrik Saxén, Frank Pettersson
2007 C conf
A Data Mining Method Applied to a Metallurgical Process.
CIDM
Henrik Saxén, Frank Pettersson
2007 J jnl
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data.
Appl. Soft Comput.
Frank Pettersson, Nirupam Chakraborti, Henrik Saxén
2007 — conf
Mining Data from a Metallurgical Process by a Novel Neural Network Pruning Method.
ICANNGA (2)
Henrik Saxén, Frank Pettersson, Matias Waller
2006 J jnl
Method for the selection of inputs and structure of feedforward neural networks.
Comput. Chem. Eng.
Henrik Saxén, Frank Pettersson
2003 — conf
A hybrid algorithm for weight and connectivity optimization in feedforward neural networks.
ICANNGA
Frank Pettersson, Henrik Saxén
2003 — conf
A systematic method to neural network modeling with application to sintermaking.
ICANNGA
Petteri Laitinen, Henrik Saxén
2000 J jnl
Estimating the degree of time variance in a parametric model.
Autom.
Matias Waller, Henrik Saxén
1999 — conf
A neural network model for blast furnace wall temperature pattern classification.
ICANNGA
Henrik Saxén, Leif Lassus
1997 — conf
Classification of Thermal Profiles in Blast Furnace Walls by Neural Networks.
ICANNGA
Henrik Saxén, Leif Lassus, Abhay B. Bulsari
1997 J jnl
On a Recurrent Neural Network Producing Oscillations.
Int. J. Neural Syst.
T. P. Fredman, Henrik Saxén
1997 — conf
Some Analytical Results for a Recurrent Neural Network Producing Oscillations.
ICANNGA
T. P. Fredman, Henrik Saxén
1996 J jnl
Nonlinear Time Series Analysis by Neural Networks: a Case Study.
Int. J. Neural Syst.
Henrik Saxén
1996 J jnl
On the approximation of a quadratic map by a small neural network.
Neurocomputing
Henrik Saxén
1995 J jnl
A recurrent network for modeling noisy temporal sequences.
Neurocomputing
Abhay B. Bulsari, Henrik Saxén
1995 — conf
Application of neural networks for classification of temperature distribution patterns.
ICANNGA
Henrik Saxén, Abhay B. Bulsari, Leif Karilainen, Kalevi Raipala
1995 — conf
NNDT - A Neural Network Development Tool.
ICANNGA
Björn Saxén, Henrik Saxén
1993 — conf
A Connetcionist Model for Analysis of Temporal Sequences with Noise.
SCAI
Abhay B. Bulsari, Henrik Saxén
1993 J jnl
Control of a biochemical process using feed-forward neural networks.
Neural Parallel Sci. Comput.
Abhay B. Bulsari, Henrik Saxén
1993 Misc conf
Feed-Forward Neural Networks for Bioreactor Control.
IWANN
Abhay B. Bulsari, Björn Saxén, Henrik Saxén
1992 A conf
A Partially Recurrent Connectionist Model.
ECAI
Abhay B. Bulsari, Henrik Saxén
1991 C conf
A Chemical Reactor Selection Expert System Created by Training an Artificial Neural Network.
ICCI
Abhay B. Bulsari, Björn Saxén, Henrik Saxén
1991 — conf
A Feed-Forward Neural Network as a Chemical Reactor Seletcion Expert System.
SCAI
Abhay B. Bulsari, Henrik Saxén
1991 — conf
Application of the Symmetric Logarithmoid as a Activation Function for Neurons in a Feed-Forward Neural Network.
SCAI
Abhay B. Bulsari, Björn Saxén, Henrik Saxén
1991 C conf
Artificial Neural Networks for Predicting Silicon Content in Raw Iron From Blast Furnaces.
ICCI
Abhay B. Bulsari, Henrik Saxén
1991 J jnl
System identification of a biochemical process using feed-forward neural networks.
Neurocomputing
Abhay B. Bulsari, Henrik Saxén
1990 — conf
Expert System Development for Intelligent Monitoring of Blast Furnace Operations.
Expert Systems in Engineering
Abhay B. Bulsari, Leif Karilainen, Henrik Saxén