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Titlebook: MICAI 2006: Advances in Artificial Intelligence; 5th Mexican Internat Alexander Gelbukh,Carlos Alberto Reyes-Garcia Conference proceedings

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41#
發(fā)表于 2025-3-28 17:37:55 | 只看該作者
A Framework for the E-R Computational Creativity Modelems that require a certain amount of creativity. The design is based on advanced Software Engineering concepts for object-oriented Framework Design. With the use of the proposed framework, the knowledge of the E-R computational model can be easily extended. This model is important since it tries to
42#
發(fā)表于 2025-3-28 21:50:53 | 只看該作者
43#
發(fā)表于 2025-3-29 01:12:22 | 只看該作者
Fuzzy State Estimation of Discrete Event Systems. with uncertainty in the duration of activities is presented. The proposed method is based on a . specification given as a fuzzy timed Petri net in which fuzzy sets are associated to places; a technique for the recursive computing of imprecise markings is given, then the conversion to discrete mark
44#
發(fā)表于 2025-3-29 04:03:25 | 只看該作者
Real-Time Adaptive Fuzzy Motivations for Evolutionary Behavior Learning by a Mobile Robotn evolutionary mobile robot learning. The main idea is to introduce active battery level sensors and recharge zones to improve robot behavior for reaching survivability in environment exploration. In order to achieve this goal, we propose an improvement of our previously defined model, as well as a
45#
發(fā)表于 2025-3-29 10:03:08 | 只看該作者
46#
發(fā)表于 2025-3-29 13:19:37 | 只看該作者
47#
發(fā)表于 2025-3-29 16:58:47 | 只看該作者
Reconfigurable Networked Fuzzy Takagi Sugeno Control for Magnetic Levitation Case Studyeal-time modeling of magnetic levitation system. After this representation, next stage is how a control approach can be affected and modified. In that respect, this paper proposes a control reconfiguration strategy from the definition of an Intelligent Fuzzy System computer network reconfiguration.
48#
發(fā)表于 2025-3-29 22:53:51 | 只看該作者
49#
發(fā)表于 2025-3-30 02:26:20 | 只看該作者
A Fault Detection System Design for Uncertain T-S Fuzzy Systemsints. In order to generate a residual signal, we used a left coprime factorization of the T-S fuzzy system. Using a multi-objective filter, the fault occurrence can be detected effectively. A simulation study with nuclear steam generator level control system shows that the suggested method can be ap
50#
發(fā)表于 2025-3-30 04:39:21 | 只看該作者
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