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Titlebook: Advances in Intelligent Computing; International Confer De-Shuang Huang,Xiao-Ping Zhang,Guang-Bin Huang Conference proceedings 2005 Springe

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21#
發(fā)表于 2025-3-25 03:24:35 | 只看該作者
https://doi.org/10.1007/978-3-319-44147-4 The control signal is optimized directly by the .GA approach to obtain the numerical relation between the control signal and the system output. And then, this relation is stored in the weight value of a trained artificial neural network, which can be available for another structure subjected to oth
22#
發(fā)表于 2025-3-25 09:59:31 | 只看該作者
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發(fā)表于 2025-3-25 21:45:11 | 只看該作者
26#
發(fā)表于 2025-3-26 03:45:34 | 只看該作者
https://doi.org/10.1007/978-94-010-9169-5tates finite automaton. Finally, we describe a DNA finite automaton with three internal states and proposal a scheme of DNA automaton model in which the tape head can move forward and backward, and symbols can be read from and write into the tape, thus extend the computation ability of DNA automaton and its application fields.
27#
發(fā)表于 2025-3-26 05:10:01 | 只看該作者
28#
發(fā)表于 2025-3-26 11:40:51 | 只看該作者
https://doi.org/10.1007/978-3-319-44147-4er seismic inputs. The results of numerical example indicate that the semi-active control of MR damper based on the hybrid algorithm can efficiently reduce the structural responses induced by earthquake.
29#
發(fā)表于 2025-3-26 15:44:24 | 只看該作者
Conference proceedings 2005 aspects of advances in computational intelligence fields, such as artificial intelligence, machine learning, bioinformatics, and computational biology, etc. The goal of this conference was to bring together researchers from academia and industry as well as practitioners to share ideas, problems and
30#
發(fā)表于 2025-3-26 16:48:07 | 只看該作者
https://doi.org/10.1007/978-3-642-03434-3 and can obtain accurate spot segmentation results. Especially, compared to all the available algorithms, our template-based spot segmentation scheme not only can facilitate downstream intensity extraction step but also can be very helpful to improve the accuracy of intensity extraction.
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