Abstract
Barycentric plotting, achieved by placing gaussian kernels in distant corners of the feature space and projecting multidimensional output of neural network on a plane, provides information about the process of training and certain features of the network. Additional visual guides added to the plot show tendencies and irregularities in the training process.
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References
Duch, W.: Uncertainty of data, fuzzy membership functions, and multi-layer perceptrons (2003, subm. to IEEE Transactions on Neural Networks)
Duch, W.: Coloring black boxes: visualization of neural network decisions. In: Int. Joint Conf. on Neural Networks, Portland, Oregon, vol. I, pp. 1735–1740 (2003)
Marrone, P.: Java object oriented neural engine, http://www.joone.org
Osowski, S.l.: Neural Networks for Information Processing. WarsawUniversity of Technology, Warsaw (2000) (in Polish)
Korbicz, J., Obuchowicz, A., Uciński, D.: Artificial Neural Networks, Basics and Applications. Academic Publishing House PLJ, Warsaw (1994)
Kosiński, R.A.: Artificial Neural Networks, Nonlinear Dynamics and Chaos. Scientific- Technical Publishing,Warsaw (2002) (in Polish)
Osowski, S.l.: Neural Networks in Algorithmic Approach. Scientific-Technical Publishing, Warsaw (1996) (in Polish)
Duch, W., Korbicz, J., Rutkowski, L., Tadeusiewicz, R.: Biocybernetics and Biomedical Engineering 2000, vol. 6. Neural Networks Academic Publishing House Exit, Warsaw (2000) (in Polish)
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© 2004 Springer-Verlag Berlin Heidelberg
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Piȩkniewski, F., Rybicki, L. (2004). Visualizing and Analyzing Multidimensional Output from MLP Networks via Barycentric Projections. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_33
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DOI: https://doi.org/10.1007/978-3-540-24844-6_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22123-4
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