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Titlebook: International Joint Conference SOCO’13-CISIS’13-ICEUTE’13; Salamanca, Spain, Se álvaro Herrero,Bruno Baruque,Emilio Corchado Conference pro

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31#
發(fā)表于 2025-3-26 22:23:18 | 只看該作者
Microcontroller Implementation of a Multi Objective Genetic Algorithm for Real-Time Intelligent Con on reasonably priced microcontrollers (.C) for real-time fast control systems. A Multi Objective Genetic Algorithm (MOGA) is implemented on a 180MHz .C.A fourth element, a Neural Network (NN) for supporting the evaluation function by predicting the response of the controlled system, is also impleme
32#
發(fā)表于 2025-3-27 04:24:22 | 只看該作者
33#
發(fā)表于 2025-3-27 05:21:17 | 只看該作者
34#
發(fā)表于 2025-3-27 09:39:51 | 只看該作者
Empirical Study of the Sensitivity of CACLA to Sub-optimal Parameter Setting in Learning Feedback CIn this paper, we report results obtained on an inertial model of a feed drive with potentially sub-optimal parameter setting and designer decisions. Namely, we have tested different reward signals, different number of features to approximate value functions and policies, and different learning gain
35#
發(fā)表于 2025-3-27 16:26:42 | 只看該作者
Optimization Design in Wind Farm Distribution Network, rate of 20%. This scenario motivate the development of an optimization design tool to find optimal layout for wind farms. This paper proposes a mathematical model to find the best electrical interconnection configuration of the wind farm turbines and the substation. The goal is to minimize the inst
36#
發(fā)表于 2025-3-27 19:56:17 | 只看該作者
Intelligent Model to Obtain Initial and Final Conduction Angle of a Diode in a Half Wave Rectifier The main reason is due to the fact that the output voltage comes alternatively from the source and from the capacitor. This study describes a novel intelligent model to obtain the time when the changes of the sources occur. For the operation range, a large set of work points are calculated to creat
37#
發(fā)表于 2025-3-28 01:25:06 | 只看該作者
38#
發(fā)表于 2025-3-28 03:02:08 | 只看該作者
39#
發(fā)表于 2025-3-28 10:15:04 | 只看該作者
40#
發(fā)表于 2025-3-28 13:44:19 | 只看該作者
Bayesian Networks for Greenhouse Temperature Control,nditions. A solution to the problem of controlling the temperature in greenhouses using an open–loop control system based on Bayesian networks is presented in this paper. The system is built and tested using data gathered from a real greenhouse. The results show the performance and applicability of
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