Joutsensalo J, Miettinen A, Zeindl M. Nonlinear dimension reduction by combining competitive and distributed learning. International Conference on Artificial Neural Networks, Paris, France, 1995, pp 395-- 400 Home/Search Document Not in Database Summary Related Articles Check |
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Process Modeling Using the Self-Organizing Map - Hollmén (1996) (Correct)
....under small changes. The goal here is to develop methods with which one could understand the structure of the multidimensional data manifold by applying SOM to the training data and PCA to each of the Voronoi tesselations in the input space. Similar work has been reported in [5] 14] 15] [16], 17] CHAPTER 4. MODELS 33 1.35 1.4 1.45 1.5 1.55 1.6 1.65 1.7 1.75 1.8 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Figure 4.4: The SOM with 10 codebook vectors Chapter 5 Case study: Rautaruukki 5.1 Problem domain Process optimization is largely motivated by the economic incentive. ....
Jyrki Joutsensalo, Antti Miettinen, and Martin Zeindl. Nonlinear dimension reduction by combining competitive and distributed learning. In F. Fogelman-Souli# and P. Gallinari, editors, Proc. ICANN'95, Int. Conf. on Articial Neural Networks, volume II, pages 395400, Nanterre, France, 1995. EC2.
Synthesis of neural networks: the case of cascaded Hebbians - Szepesvári (1996) (Correct)
.... Poggio and Girosi (Poggio and Girosi, 1990) Nowlan (Nowlan, 1990) Benaim and Tomasini (Benaim and Tomasini, 1991,Benaim and Tomasini, 1992) Martinetz and Schulten (Martinetz and Schulten, 1991) Fomin et al. Fomin et al. 1994) Szepesv ari et al. Szepesv ari et al. 1994) Joutsensalo et al. (Joutsensalo et al. 1995), and Michaels (Michaels, 1995) to name but a few. N 1 N 2 v u x y Figure 1: Single hidden layer cascaded network The weight u of subnetwork N 1 is trained independently of the weight v of subnetwork N 2 . We investigate in this article if the convergence of the weight vector of N 2 ....
. Nonlinear dimension reduction by combining competitive and distributed learning. In Proc. of ICANN'95, volume 2, pages 395--400, Paris.
Neural Comput Applic (1999)8:163--176 - Springer-Verlag London Limited (Correct)
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Joutsensalo J, Miettinen A, Zeindl M. Nonlinear dimension reduction by combining competitive and distributed learning. International Conference on Artificial Neural Networks, Paris, France, 1995, pp 395-- 400
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