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Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection
Research article (Journal of King Saud University - Computer and Information Sciences, 2023) · cited 49× · AI/ML
Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection
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Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection is a scholarly article[1].
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Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-unit-discrete-hopfield-neural-network-for-higher-order-supervised-learning-through-logic-mining-optimal-performanc
MLA“Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-unit-discrete-hopfield-neural-network-for-higher-order-supervised-learning-through-logic-mining-optimal-performanc.
BibTeX@misc{4ortxyz_multi-unit-discrete-hopfield-neural-network-for-higher-order-supervised-learning-through-logic-mining-optimal-performanc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection}}, year = {2026}, url = {https://4ort.xyz/entity/multi-unit-discrete-hopfield-neural-network-for-higher-order-supervised-learning-through-logic-mining-optimal-performanc}, note = {Accessed: 2026-05-24}}
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