Download Artificial Intelligence and Security in Computing Systems: by Facchinetti Gisella, Franci Francesco, Mastroleo Giovanni, PDF

By Facchinetti Gisella, Franci Francesco, Mastroleo Giovanni, Pagliaro Vittorio (auth.), Jerzy Sołdek, Leszek Drobiazgiewicz (eds.)

Artificial Intelligence and defense in Computing Systems is a peer-reviewed convention quantity targeting 3 components of perform and learn development in info applied sciences:

-Methods of man-made Intelligence offers equipment and algorithms that are the foundation for purposes of man-made intelligence environments.
-Multiagent Systems comprise laboratory learn on multiagent clever structures in addition to upon their purposes in transportation and data platforms.
-Computer safeguard and Safety offers suggestions and algorithms with a view to be of significant curiosity to practitioners. normally, they specialise in new cryptographic algorithms (including a symmetric key encryption scheme, hash capabilities, mystery new release and sharing schemes, and safe information storage), a proper language for coverage entry keep watch over description and its implementation, and probability administration equipment (used for non-stop research either in allotted community and software program improvement projects).

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Extra info for Artificial Intelligence and Security in Computing Systems: 9th International Conference, ACS’ 2002 Międzyzdroje, Poland October 23–25, 2002 Proceedings

Example text

30 The calculated value of objective function (OF) is used as an assessment criterion: OF= j(E'P~Q,a,a,a (28) The results are presented in Figures la, lb and 2a, 2b. The results of solutions of fuzzy problems are worse than those of determined problems. This is due to the introduction of additional constra ints, narrowing the area of admissible solutions. The results become worse as the level of aspiration E increases in the fulfilment of fuzzy inequalities. 2 ao 6 . 6 . la. Case for OF=j(e,p) , !!

Although ANNs are analogous to non-parametric and non-linear statistical regression models, they have abilities to model non-linear processes with few (or no) assumptions about the character of the system being modelled. This feature turned out to be very useful in business and economic applications, where usually little is known about the nature and dependencies occurring in analysed processes . The paper briefly characterises the most commonly used kinds of neural networks and presents their selected applications in economy and management.

The calculations and their results have been presented and interpreted. Key words: vessel traffic, optimization, fuzzy linear programming 1. INTRODUCTION The problem of vessel traffic management in narrow fairways can be formulated as the optimization of passage times of vessels in compliance with the regulations in force . This optimization consists of the determination of optimal times of vessels entering the fairway and maintaining proper speeds at particular fairway sections. In reality certain allowance is made for deviations from fixed values of constraint coefficients and variables.

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