STeP '96 - Genes, Nets and Symbols

Celebrating the 10th Anniversary
of the Finnish Artificial Intelligence Society.

Jarmo T. Alander
University of Vaasa
Jarmo.Alander@uwasa.fi

Genetic algorithms in programming (in Finnish)

Heikki Salo
University of Tampere
hes@cs.uta.fi

Neural networks: an introduction to modern AI (in Finnish)

Timo Honkela
Helsinki University of Technology
Timo.Honkela@hut.fi

Probabilistic Modeling with Bayesian Networks (.ps.gz)

Petri Myllymäki
University of Helsinki
Petri.Myllymaki@cs.helsinki.fi

Machine intelligence and learning (in Finnish)

Tapio Elomaa
University of Helsinki
Tapio.Elomaa@cs.helsinki.fi

Timo Honkela
Helsinki University of Technology
Timo.Honkela@hut.fi

Parallel Programming on Hopfield Nets

Pekka Orponen, Frédéric Prost
University of Helsinki
orponen@cs.helsinki.fi

Turing machines are Recurrent Neural Networks

Heikki Hyötyniemi
Helsinki University of Technology
Heikki.Hyotyniemi@hut.fi

Structural Optimization of Feedforward Networks

Heikki Hyötyniemi
Helsinki University of Technology
Heikki.Hyotyniemi@hut.fi

Text Document Classification with Self-Organizing Maps

Heikki Hyötyniemi
Helsinki University of Technology
Heikki.Hyotyniemi@hut.fi

Datamining Accounting Numbers Using Self-Organizing Maps

Barbro Back, Kaisa Sere, Hannu Vanharanta
Turku School of Economics and Business Administration,
barbro.back@abo.fi

WEBSOM - A status report

Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen
Helsinki University of Technology
krista.lagus@hut.fi

Modelling Non-Industrial Private Forest Landowners' Choices of Forest Taxation Basis by Using Logistic Regression and Neural Networks

Arto Kettunen, Petri Räsänen, Mauno Pesonen
University of Helsinki
Dept of Forest Resource Management
arto.kettunen@helsinki.fi

FinnPro -
A Tool for the Simulation of Connectionist Models of Language Production

Anneli Tikkala, University of Kuopio, Finland, Anneli.Tikkala@uku.fi
Hans-Jürgen Eikmeyer, University of Bielefeld, Germany, eikmeyer@lili.uni-bielefeld.de
Matti Laine, University of Turku, Finland
Jussi Niemi, University of Joensuu, Finland

A Training Method for Feedforward and Recurrent RBF Type Neural Networks

Hannu Koivisto, Joni Vahteri
Tampere University of Technology
hannu.koivisto@ae.tut.fi

Vyacheslav A. Grebenyuk, Helen B. Kaikova, Vagan Y. Terziyan, Seppo Puuronen
State Technical University of Radioelectronics, Kharkov, Ukraine
pcs@khture.kharkov.ua

Finding Optimal Multi-Splits for Numerical Attributes in Decision Tree Learning

Tapio Elomaa, Juho Rousu
University of Helsinki, Finland
elomaa@cs.helsinki.fi

Case-Based Reasoning Applied to Fault Diagnostics in GSM Telecommunication Networks

Pekka Ala-Siuru, Matti Kurki
VTT Electronics, Oulu, Finland
pekka.ala-siuru@vtt.fi

Design and Developing an Adaptive Fuzzy Logic Advisory Tool for Materials Purchasing in an Electronics Manufacturing Enviroment

Tapio Frantti
Nokia Telecommunications Oy, Haukipudas, Finland
frantti@ntcclu.ntc.nokia.com

An Object-Oriented Distributed Problem Solving Environment

Martti Paajanen
ViSolutions, Inc., Helsinki, Finland
Martti.Paajanen@icl.fi

Sirex: Diagnosing Forest Damage in the World Wide Web

Jari Perttunen, Jouni Väkevä, Hannu Saarenmaa
Finnish Forest Research Institute (Metla), Helsinki, Finland

An object-oriented approach to PLC explanation

Johan Plomp (*), Pertti Huuskonen, Esko Malm, Jari Paanasalo
VTT Electronics, Oulu, Finland

Tapani Launis
Helsinki, Finland

Learning environment for a process automation system using computer networks

Juha Lindfors, Leena Yliniemi, Kauko Leiviskä
University of Oulu, Finland
Juha.Lindfors@oulu.fi

Proceedings of the 2NWGA

Along with the STeP conference, the 2nd Nordic Workshop of Genetic Algorithms (2NWGA) was organized.

• anonymous ftp (find *.ps.Z), and

• WWW.