By Gisella Facchinetti (auth.), Jerzy Sołdek, Jerzy Pejaś (eds.)
Advanced laptop Systems is a suite of 40 chosen papers provided to the 8th foreign convention on desktops, October 2001 in Mielno, Poland. those papers offer a accomplished precis of perform and study growth in details applied sciences:
- Recognition, safety and security concentrates at the widely-known difficulties of knowledge platforms security.
- Methods of man-made Intelligence provides tools and algorithms that are the fundamentals for the purposes of synthetic intelligence environments.
- Intelligent brokers and disbursed actions contains laboratory learn on multiagent clever platforms in addition to upon their functions in looking info, negotiating and aiding decision.
- Distributed Productions Networks and Modeling advanced platforms current construction techniques in dispensed shared digital atmosphere, digital answer of integer optimization difficulties, and a queuing method of functionality optimization within the dispensed construction network.
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Additional info for Advanced Computer Systems: Eighth International Conference, ACS ‘2001 Mielno, Poland October 17–19, 2001 Proceedings
Pattern classification and scene analysis. New York, 1973. pl Abstract: Neural network is an universal classifier and with the proper choosing of its architecture it can solve any, even very complicated, classification task. The main problem in neural network applications lies in the fact, that their learning process is complicated and time-consuming. It concerns especially multidimensional tasks for which neural network architecture is very extended. The probabilistic REF neural network does not possess all of the mentioned disadvantages.
1 Methods ofArtificial Intelligence 3. 41 LEARNING OF NEURAL AND FUZZY CONTROLLERS BY MEANS OF THE GA Genetic algoritlun is an effective means for the neural and fuzzy controllers learning in those cases, when sufficiently adequate and high-speed simulation model of object may be used. Here, the control law is synthesized as a result of multiple experiments with the model in the course of which the controller parameters are being corrected (Fig. 2). The standard process y*(t) g(t) Fig 2. g. ).
Inferentialfuzzy systemfor rating istruction. Economics & Complexity. 31-56. : (2000). A Fuzzy Approach for the Empirical Identification ofIndustrial Districts. com. : (2000)Afuzzy approach for granting personal credit. Proceedings ofThird Spanish-Italian Meeting on Financial Mathematics. -Mastroleo G.. A Proposal for Modelling Real Options through Fuzzy Expert Systems" on Proceedings ACM SAC 2001 Las Vegas 11-13 Marzo 2001.. - Mastroleo M- Vignola V. a. - Mastroleo M- Vignola V. Valuing strategic investment with afuzzy expert system: an italian case.
Advanced Computer Systems: Eighth International Conference, ACS ‘2001 Mielno, Poland October 17–19, 2001 Proceedings by Gisella Facchinetti (auth.), Jerzy Sołdek, Jerzy Pejaś (eds.)