By Facchinetti Gisella, Franci Francesco, Mastroleo Giovanni, Pagliaro Vittorio (auth.), Jerzy Sołdek, Leszek Drobiazgiewicz (eds.)
Artificial Intelligence and safety in Computing Systems is a peer-reviewed convention quantity concentrating on 3 parts of perform and study development in details applied sciences:
-Methods of synthetic Intelligence provides tools and algorithms that are the root for functions of synthetic intelligence environments.
-Multiagent Systems contain laboratory study on multiagent clever structures in addition to upon their purposes in transportation and knowledge structures.
-Computer safeguard and Safety offers suggestions and algorithms in order to be of significant curiosity to practitioners. typically, they specialize in new cryptographic algorithms (including a symmetric key encryption scheme, hash capabilities, mystery iteration and sharing schemes, and safe facts storage), a proper language for coverage entry regulate description and its implementation, and chance administration equipment (used for non-stop research either in disbursed community and software program improvement projects).
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Additional info for Artificial Intelligence and Security in Computing Systems: 9th International Conference, ACS’ 2002 Międzyzdroje, Poland October 23–25, 2002 Proceedings
The investigation of importance of particular condition attributes (table 3) leads to a conclusion that the lack of the attribute CI3 (previous change of ailerons deflection angle) would cause a large loss of information for the pilot. The attributes CI and C12 have a similar importance. Basing on the evaluated importance of condition attributes we can state, in case of altitude stabilisation (table 5 and 7), that for the generated decision table the attributes: Cg - rate of climb, C9 - change of rate of climb and CII - previous change of rudder deflection angle are particularly important.
24-70. Shen, AChoucholas, "Rough set-based dimensionality reduction for supervised and unsuperv ised learn ing", Int. 1. Appl. Math. 3, pp. 583-601. Neural Networks and Their Economic Applications JANUSZ MORAJDA Cracow University ofEconom ics. Dept. ofComputer Science ul. 31-510 Krakow. Poland. pl Abstract: The paper outlines basic types of neural networks and presents their selected applications in marketing, finance and otherareas of business and economy. Keywords: neuralnetworks, neural modelIing, prediction, classification.
Also. the absolute reducts of the condition attributes set have been separated Moreover, the certainty, support and strength factors for all ofthe rules have been precisely calculated. At the end ofthe article, the author has also shown the reverse decision algorithm. t set, region, certainty factor, support factor, strength factor, decision algorithm . 1. 1 Introduction The main idea of this article is to prepare the algorithm of the expert system, which will perform the presumptive diagnosis of two diseases of urinary system.