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31#
發(fā)表于 2025-3-26 22:58:32 | 只看該作者
32#
發(fā)表于 2025-3-27 03:23:31 | 只看該作者
33#
發(fā)表于 2025-3-27 06:05:04 | 只看該作者
34#
發(fā)表于 2025-3-27 09:54:31 | 只看該作者
35#
發(fā)表于 2025-3-27 14:11:25 | 只看該作者
Nietzsche and Modern Literature. The considered hybrid adaptive system of computational intelligence has some advantages over the conventional artificial neural networks and neuro-fuzzy systems. The proposed hybrid neuro-neo-fuzzy prediction system provides a high quality load prediction that is very important for power systems.
36#
發(fā)表于 2025-3-27 21:42:52 | 只看該作者
Hybrid Adaptive Systems of Computational Intelligence and Their On-line Learning for Green IT in Ene. The considered hybrid adaptive system of computational intelligence has some advantages over the conventional artificial neural networks and neuro-fuzzy systems. The proposed hybrid neuro-neo-fuzzy prediction system provides a high quality load prediction that is very important for power systems.
37#
發(fā)表于 2025-3-27 23:46:45 | 只看該作者
38#
發(fā)表于 2025-3-28 05:24:17 | 只看該作者
39#
發(fā)表于 2025-3-28 06:48:56 | 只看該作者
Concepts of Green IT Engineering: Taxonomy, Principles and Implementationafety. Information technologies are an important factor of energy consumption, safety and green culture. The paper describes concepts and taxonomy of green IT engineering. Main principles of development and implementation, indicators and values of green computing are analyzed. Description of EU project GreenCo is provided.
40#
發(fā)表于 2025-3-28 13:20:12 | 只看該作者
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