Discrete mutation hopfield neural network in propositional satisfiability
The dynamic behaviours of an artificial neural network (ANN) system are strongly dependent on its network structure. Thus, the output of ANNs has long suffered from a lack of interpretability and variation. This has severely limited the practical usability of the logical rule in the ANN. The work pr...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2019
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/87731/1/MohammadFaisalMohdBasir2019_DiscreteMutationHopfieldNeuralNetwork.pdf http://eprints.utm.my/id/eprint/87731/ http://dx.doi.org/10.3390/MATH7111133 |
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