By Igor Aizenberg (auth.), Leszek Rutkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (eds.)
This quantity constitutes the lawsuits of the tenth overseas convention on man made Intelligence and delicate Computing, ICAISC’2010, held in Zakopane, Poland in June 13-17, 2010. The articles are equipped in topical sections on Fuzzy platforms and Their functions; information Mining, category and Forecasting; picture and Speech research; Bioinformatics and scientific functions (Volume 6113) including Neural Networks and Their purposes; Evolutionary Algorithms and Their purposes; Agent approach, Robotics and regulate; quite a few difficulties aof synthetic Intelligence (Volume 6114).
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This paintings offers with the query of illegal territorial occasions, i. e. territorial regimes which are tested and maintained in defiance of overseas legislations. It represents a really well timed contribution to the talk in regards to the nature, the goals and function of overseas interventions within the affairs of sovereign nations.
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Extra resources for Artifical Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part II
626–629. IEEE Computer Society Press, Los Alamitos (2000) 14. : A New Design Method for the ComplexValued Multistate Hopfield Associative Memory. IEEE Trans. Neural Networks 14(4), 891–899 (2003) 15. : Rotation-Invariant Image Association for Endoscopic Positional Identification Using Complex-Valued Associative Memories. G. ) IWANN 2001. LNCS, vol. 2085, pp. 369–374. Springer, Heidelberg (2001) 16. : Improving the capacity of complex-valued neural networks with a modified gradient descent learning rule.
A sector whose border is closest to the current weighted sum z is chosen as a desired sector q. Then either of learning rules (4) or (5) can be applied. 4 Conclusions We observed in this paper in detail complex-valued neurons with the phase-dependent activation functions – the multi-valued neuron and the universal binary neuron. Acknowledgement This work is supported by the National Science Foundation under Grant 0925080. References 1. : Complex-Valued Neural Networks. Springer, Heidelberg (2006) 2.
5. Evidently, for k=2 function (10) coincides with function (9) and in this case the MVN-P coincides with the UBN. The most important property of the MVN-P is its ability to learn those k-valued input/output mappings, which are not threshold in k-valued logic and cannot be learned using a single MVN with activation function (2), but which are partially defined threshold functions in m-valued logic. Complex-Valued Neurons with Phase-Dependent Activation Functions Fig. 5. Geometrical interpretation of the periodic activation function (10) 9 For example, such a multiple-valued function, as a mod k addition of n kvalued variables (a multiplevalued analog of the Parity n function) cannot be learned by a single MVN with activation function (2), but can be learned by a single MVN-P with activation function (10) .
Artifical Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part II by Igor Aizenberg (auth.), Leszek Rutkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (eds.)