Download Artificial Intelligence and Soft Computing - ICAISC 2004: by Danilo Ardagna, Chiara Francalanci, Vincenzo Piuri, Fabio PDF

By Danilo Ardagna, Chiara Francalanci, Vincenzo Piuri, Fabio Scotti (auth.), Leszek Rutkowski, Jörg H. Siekmann, Ryszard Tadeusiewicz, Lotfi A. Zadeh (eds.)

This e-book constitutes the refereed complaints of the seventh overseas convention on man made Intelligence and delicate Computing, ICAISC 2004, held in Zakopane, Poland in June 2004.

The 172 revised contributed papers offered including 17 invited papers have been conscientiously reviewed and chosen from 250 submissions. The papers are equipped in topical sections on neural networks, fuzzy structures, evolutionary algorithms, tough units, delicate computing in class, snapshot processing, robotics, multiagent structures, difficulties in AI, clever keep watch over, modeling and method id, scientific functions, mechanical functions, and purposes in numerous fields.

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Additional resources for Artificial Intelligence and Soft Computing - ICAISC 2004: 7th International Conference, Zakopane, Poland, June 7-11, 2004. Proceedings

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BDσ1 σ2 σ1 σ2 + ... + bDI I) l (y j − w∗ T xj )/l. e. in the case of complex numbers (G1,0,0 ) or quaternions (G0,2,0 ) we can see that the circle or the sphere are divide by means spherical vectors. g. + < αj >2n < y j >2n I, 13 (17) simply one consider as coefficients of the multivector basis the multiplications between the coefficients of blades of same degree. For clarity we introduce this operation “◦”which takes place implicitly in previous equation (5). Note that the cases of 2-state and 4-state (Complex numbers) can be solved by the multi-class real valued SVM, however in case of higher representations like the 16-state using quaternions, it would be awkward to resort to the multi-class real valued SVMs.

Application of uncertain and random variables to knowledge-based pattern recognition. Proc. of 16th International Conference on Systems Engineering. Coventry University, Coventry, UK, vol 1 (2003) pp 100-105 10. : Application of uncertain variables in a class of control systems with uncertain and random parameters. Proc. of the European Control Conference. Cambridge, UK (2003) 11. : Application of uncertain variables to task and resource distribution in complex computer systems. Computer Aided Systems Theory.

Open-loop knowledge-based decision system 4 Allocation Problems and Project Management The uncertain variables may be applied to allocation problems consisting in the proper task or resource distribution in a complex of operations described by a relational konwledge representation with unknown parameters [12]. The parts of the complex may denote manufacturing operations [5], computational operations in a computer system [11] or operations in a project to be managed [8]. , k (16) where Ti is the execution time of the i-th operation, ui is the size of a task in the problem of task allocation or the amount of a resource in the problem of resource allocation, an unknown parameter xi ∈ R1 is a value of an uncertain variable xi described by a certainty distribution hi (xi ) given by an expert, and x1 , .

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