By Andrzej Bielecki, Marzena Bielecka, Anna Chmielowiec (auth.), Leszek Rutkowski, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (eds.)
This publication constitutes the refereed complaints of the ninth overseas convention on man made Intelligence and tender Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008.
The 116 revised contributed papers offered have been rigorously reviewed and chosen from 320 submissions. The papers are geared up in topical sections on neural networks and their purposes, fuzzy platforms and their purposes, evolutionary algorithms and their functions, type, rule discovery and clustering, photograph research, speech and robotics, bioinformatics and clinical functions, numerous difficulties of synthetic intelligence, and agent systems.
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As stated before, learning algorithm (6) ﬁnds suboptimal (from a point of view of performance index (5)) solution only when values of coeﬃcient η are selected properly at each time step n. Otherwise it diverges or oscillates (, , ). We use in learning procedure many correction coeﬃcients, diﬀerent for each single neural network and for each layer, . Let η (m) (n), η (m) (n), η (m) (n) denote m-th neural network’s learning coeﬃcients for output linear unit, hidden nonlinear neurons and feedback connections, respectively.
Grzech, A. ) Knowledge Engineering and Experts Systems, OWPN, Wroclaw, pp. 194–206 (2003) 8. : Neural network indicating maxima and ridges in two-dimensional signal. , Kallio, S. ) Engineering Applications of ANN, Proc of Int. Conf. EANN 1995, Helsinki, pp. 485–488 (1995) 9. : Adjusting parameters of twodimensional neural network. In: Proc. of the Second Conf. Neural Networks and Their Applications, Szczyrk, vol. 1 (1996) 10. : Application of neural networks to fringe samples analysis. , Kallio, S.