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Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem

Research article (Applied Soft Computing, 2018) · cited 37× · AI/ML
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Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem

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Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem is a scholarly article[1].

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  • Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem. Retrieved May 24, 2026, from https://4ort.xyz/entity/parallel-memetic-algorithm-for-training-recurrent-neural-networks-for-the-energy-efficiency-problem
MLA “Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/parallel-memetic-algorithm-for-training-recurrent-neural-networks-for-the-energy-efficiency-problem.
BibTeX @misc{4ortxyz_parallel-memetic-algorithm-for-training-recurrent-neural-networks-for-the-energy-efficiency-problem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem}}, year = {2026}, url = {https://4ort.xyz/entity/parallel-memetic-algorithm-for-training-recurrent-neural-networks-for-the-energy-efficiency-problem}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem — https://4ort.xyz/entity/parallel-memetic-algorithm-for-training-recurrent-neural-networks-for-the-energy-efficiency-problem (retrieved 2026-05-24)

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