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List of Publications 1996-1997

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50 references, last updated 2003-02-21

[1]
J. Heikkonen and P. Koikkalainen. Self-organization and autonomous robots. In O. Omidvar and P. van der Smagt, editors, Neural Systems for Robotics, pages 297-337. Academic Press, San Diego, 1997.

[2]
J. Heikkonen, A. Varfis, I. Kanellopoulos, G. G. Wilkinson, K. Fullerton, and A. Steel. A method for remote sensing based classification of urban areas. In Proceedings of the 10th Scandinavian Conference on Image Analysis, Lappeenranta, Finland, June 9-11, volume II, pages 417-421, 1997.

[3]
J. Heikkonen, A. Varfis, I. Kanellopoulos, G. G. Wilkinson, K. Fullerton, and A. Steel. Satellite image based land cover/land use classification of urban areas. In Proceedings 3rd Int. Conference on Engineering Applications of Neural Networks, Stockholm, Sweden, June 16-18, pages 9-16, 1997.

[4]
P. Heino and K. Kaski. Mesoscopic model of crack branching. Physical Review B, 54(9):6150-6154, 1996.

[5]
P. Heino and K. Kaski. Dynamic fracture of disordered viscoelastic solids. Phys. Rev. E, 56:4364-4370, 1997.

[6]
P. Heino and K. Kaski. Dynamic fracture of disordered viscoelastic solids. In E. Rauhala and M. E. Sainio, editors, Proc. of the XXXI annual conference of the Finnish physical society, HU-P-262, page 10.05. University of Helsinki, 1997.

[7]
P. Heino and K. Kaski. Mesoscopic maxwell-dissipative finite element model for crack propagation. International Journal of Modern Physics C, 8(2):383-395, 1997.

[8]
P. Heino, R. Hernberg, and J. Stenberg. Statistical pyrometric sizing of particles in fluidized bed combustion. Combust. Flame, 108:315-326, 1997.

[9]
P. Heino, H.Häkkinen, and K.Kaski. Molecular dynamics study of mechanical properties of copper. Technical Report B09, ISBN 951-22-3685-0, Helsinki University of Technology, Lab. of Computational Engineering, 1997.

[10]
P. Heino. Dynamic fracture of disordered viscoelastic solids. In International workshop on physics of structurally disordered materials. University of Jyväskylä, February 1997.

[11]
K. Kaski and P. Heino. Computer simulations of fracture in disordered viscoelastic systems. Journal of Molecular Liquids, 71:225-233, 1997.

[12]
K. Kaski and P. Heino. Computer simulations of fracture in disordered visco-elastic systems. Technical Report B02, ISBN 951-22-3513-7, Helsinki University of Technology, Lab. of Computational Engineering, March 1997.

[13]
K. Kaski, P. Heino, and H. Häkkinen. Molecular dynamics study of mechanical properties of copper. In Bulletin of the american physical society, volume 42, page 1556, 1997.

[14]
M. Korteoja, A. Lukkarinen, K. Kaski, and K. J. Niskanen. Local strains in paper. TAPPI Journal, 79:217-223, 1996.

[15]
M. Korteoja, K. J. Niskanen, K. Kaski, and M. T. Kortschot. Progressive damage in paper. Technical Report B06, ISBN 951-22-3616-8, Helsinki University of Technology, Lab. of Computational Engineering, 1996. (submitted to TAPPI Journal).

[16]
Mikko Korteoja. Damage and fracture in fibrous compounds: the effect of structural disorder. Technical Report B16, ISBN 951-22-3809-8, Helsinki University of Technology, Lab. of Computational Engineering, 1997.

[17]
T. Koskela, M. Lehtokangas, J. Saarinen, and K. Kaski. Time series prediction with multilayer perceptron, FIR and elman neural networks. In Proc. World Congress on Neural Networks, pages 491-496. INNS Press, 1996.

[18]
T. Koskela, M. Varsta, J.Heikkonen, and K. Kaski. Time series prediction using RSOM with local linear models. Technical Report B15, ISBN 951-22-3788-1, Helsinki University of Technology, Lab. of Computational Engineering, 1997.

[19]
A. Kuronen, S. Savolainen, M. Tagesson, K. Kairemo, and S.-E. Strand. Monte carlo simulation of radiation doses in radioimmunotherapy. volume 23, page 1128, 1996. European Association of Nuclear Medicine Congress, Copenhagen September 1996 (abstract).

[20]
S. Kuusisto, M. Lehtokangas, J. Saarinen, and K. Kaski. Short term electric load forecasting using a neural network with fuzzy hidden neurons. Neural Computing & Applications, 6:42-56, 1997.

[21]
J. Lampinen and A. Selonen. Using background knowledge in multilayer perceptron learning. In M. Frydrych, J. Parkkinen, and A. Visa, editors, Proc. of The 10th Scandinavian Conference on Image Analysis, volume 2, pages 545-549, 1997.

[22]
J. Lampinen and S. Smolander. Self-organizing feature extraction in recognition of wood surface defects and color images. International Journal of Pattern Recognition and Artificial Intelligence, 10(2):97-113, 1996. (PostScript)

[23]
J. Lampinen, C. Aschan, A. Kuronen, K. Kairemo, T. Korppi-Tommola, and S. Savolainen. Estimating internal patient dose using a flexible anatomical phantom based computer program. volume 23, page 1128, 1996. European Association of Nuclear Medicine Congress, Copenhagen September 1996 (abstract).

[24]
J. Lampinen, A. Kuronen, J. Stepanek, and S. Savolainen. Modelling absorbed dose in ideal cell clusters. volume 24, page 969, 1997. European Association of Nuclear Medicine Congress, Glasgow September 1997 (abstract).

[25]
J. Lampinen, J. Laaksonen, and E. Oja. Neural network systems, techniques and applications in pattern recognition. Technical Report B01, ISBN 951-22-3462-9, Helsinki University of Technology, Lab. of Computational Engineering, February 1997.

[26]
J. Lampinen. Advances in neural network modeling. In L. Yliniemi and E. Juuso, editors, Proc. of TOOLMET'97, Tool Environments and Development Methods for Intelligent Systems, pages 28-36, 1997. (PostScript)

[27]
M. Lehtokangas, P. Salmela, J. Saarinen, and K. Kaski. Weight initialization techniques in neural network systems and their application. Technical Report B12, ISBN 951-22-3688-5, Helsinki University of Technology, Lab. of Computational Engineering, July 1997.

[28]
A. Lukkarinen and K. Kaski. Computational studies of compressed and sheared electrorheological fluid. J. Phys. D: Appl. Phys., 29:2729-2732, 1996.

[29]
A. Lukkarinen and K. Kaski. Simulation studies of electrorheological fluids under shear, compression, and elongation loading. Technical Report B14, ISBN 951-22-3723-7, Helsinki University of Technology, Lab. of Computational Engineering, September 1997.

[30]
K. J. Niskanen. M. Korteoja, L. I. Salminen and M. Alava. Statistical variation of paper strength. Technical Report B07, ISBN 951-22-3617-6, Helsinki University of Technology, Lab. of Computational Engineering, 1997. (Accepted for publication in Journal of Pulp and Paper Science).

[31]
K. J. Niskanen. M. Korteoja, L. I. Salminen and M. Alava. Strength distribution in paper. Technical Report B08, ISBN 951-22-3618-4, Helsinki University of Technology, Lab. of Computational Engineering, 1997. (Submitted to J. Mat. Sci. Eng.).

[32]
K. J. Niskanen, P. Tonteri, and S. Uusi-Salava. Miten mitataan paperin epätasaisuuden vaikutus sen lujuuteen? Technical Report B05, ISBN 951-22-3618-4, Helsinki University of Technology, Lab. of Computational Engineering, 1997. (in finnish).

[33]
H. Häkkinen P. Heino and K. Kaski. Molecular dynamics study of copper with defects under straining. Technical Report B17, ISBN 951-22-3980-9, Helsinki University of Technology, Lab. of Computational Engineering, 1997.

[34]
L. F. Perondi, R. J. Elliott, and K. Kaski. Tracer diffusion in a system with randomly distributed traps. J. Phys.: Condens. Matter, 9:7949-7961, 1997.

[35]
L. F. Perondi, R. J. Elliott, and K. Kaski. Tracer diffusion in a system with randomly distributed traps. Technical Report B11, ISBN 951-22-3687-7, Helsinki University of Technology, Lab. of Computational Engineering, July 1997.

[36]
L. F. Perondi, R. J. Elliott, and K. Kaski. Tracer diffusion in bond disordered square lattices. J. Phys.: Condens. Matter, 9:7933-7948, 1997.

[37]
L. F. Perondi, R. J. Elliott, and K. Kaski. Tracer diffusion in bond disordered square lattices. Technical Report B10, ISBN 951-22-3686-9, Helsinki University of Technology, Lab. of Computational Engineering, July 1997.

[38]
A. Rantala, S. Franssila, K. Kaski, J. Lampinen, M. Åberg, and P. Kuivalainen. Variable threshold MOS-transistor for integrated neural network circuits. In Proc. NORCHIP'97, pages 36-43, 1997.

[39]
T. T. Rautiainen, M. J. Alava, and K. Kaski. Dynamics of fracture in dissipative sysmtes. Physical Review E, 1997.

[40]
T. T. Rautiainen, M. J. Alava, and K. Kaski. Dynamics of fracture in dissipative systems. Technical Report B13, ISBN 951-22-3693-1, Helsinki University of Technology, Lab. of Computational Engineering, August 1997.

[41]
A. Selonen and J. Lampinen. Experiments on regularizing MLP models with background knowledge. In W. Gerstner et.al., editor, Artificial Neural Networks - ICANN'97, volume 1327 of Lecture Notes in Computer Science, pages 367-372. Springer, October 1997. (PostScript)

[42]
A. Selonen, J. Lampinen, and L. Ikonen. Using background knowledge in neural network learning. In D.P. Casasent, editor, Intelligent Robots and Computer Vision XV: Algorithms, Techniques, Active Vision, and Materials Handling, volume 2904, pages 239-249, 1996. (PostScript)

[43]
S. Smolander and J. Lampinen. Determining the optimal structure for multilayer self-organizing map with genetic algorithm. In M. Frydrych, J. Parkkinen, and A. Visa, editors, Proc. of The 10th Scandinavian Conference on Image Analysis, volume 1, pages 411-417, 1997.

[44]
M. Varsta and P. Koikkalainen. Robot path generation for surface processing applications via neural networks. In Proceedings of the SPIE 2904, pages 228-238. SPIE, 1996.

[45]
M. Varsta and P. Koikkalainen. Surface modeling and robot path generation using self-organization. In Proceedings of the ICPR'96, 1996.

[46]
M. Varsta, J. del R. Millán, and J. Heikkonen. A recurrent self-organizing map for temporal sequence processing. In Proceedings of the ICANN'97, October 1997.

[47]
M. Varsta, J. Heikkonen, and J. del R. Millan. Context learning with the self-organizing map. Technical Report B04, ISBN 951-22-3543-9, Helsinki University of Technology, Lab. of Computational Engineering, April 1997.

[48]
M. Varsta, J. Heikkonen, and J. del R. Millan. Epileptic activity detection in eeg with neural network. Technical Report B03, ISBN 951-22-3542-0, Helsinki University of Technology, Lab. of Computational Engineering, April 1997.

[49]
M. Varsta, J. Heikkonen, and J. Del R. Millán. Context learning with the self-organizing map. In Proc. of Workshop on Self-Organizing Maps, pages 197-202. Helsinki University of Technology, 1997.

[50]
M. Varsta, J. Heikkonen, and J. Del R. Millán. Epileptic activity detection in EEG with neural networks. In Proc. of 3rd Int. Conference on Engineering Applications on Neural Networks (EANN), pages 179-186, 1997.


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