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Titlebook: Artificial Intelligence Applications and Innovations; IFIP 18th World Comp Max Bramer,Vladan Devedzic Conference proceedings 2004 IFIP Inte

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楼主: 拼图游戏
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Artificial Intelligence Systems in Micromechanicsicroequipment for manufacturing processes and some AI method implementations to increase its precision, like computer vision systems based on neural networks for microdevice assembly, and genetic algorithms for microequipment characterization and microequipment precision increase.
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An Artificial Neural Networks Approach to the Estimation of Physical Stellar Parametersstical clustering techniques. The final networks obtained a success rate of 88% for public catalogue spectra..Our final objective is to calibrate the MK classification system, obtaining thus a new relation between the temperature and the spectral type.
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Verification of NASA Emergent Systemsstudy for swarm-based missions for which to experiment and test current formal methods with intelligent swarms. Using the ANTS mission, we have evaluated multiple formal methods to determine their effectiveness in modeling and assuring swarm behavior.
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1868-4238 s; therefore authors should highlight the benefits of AI technology for industry and services. Novel approaches solving business and industrial problems, using AI, will emerge from this conference. .978-1-4757-8025-3978-1-4020-8151-4Series ISSN 1868-4238 Series E-ISSN 1868-422X
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Implementing Remote Data Portal Hosts, the knowledge properly and, being so, systemizing its relations, clarifying its bonds, to evaluate the results and applications. There is a real need of new tools that conciliate the best of AI and NI techniques, generating methods and techniques of storage and manipulation of information, what will reflect on law and justice.
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Object-Oriented Application Design,time. This approach to using agents aims to flexibly provide product models in a form adapted to the need of the particular tools when a common data format is not readily available. Experiments show the feasibility of this approach as well as its efficacy and efficiency.
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Business Object Implementation, gain (output scaling factor) which varies linearly with the fuzzy inputs. Under certain conditions, it becomes similar to the conventional PID controller with non-linearly variable coefficients. The results of simulation show, well, the efficiency of the proposed controller.
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