Modified 2 Satisfiability Reverse Analysis Method via Logical Permutation?perator
نویسندگان
چکیده
The effectiveness of the logic mining approach is strongly correlated to quality induced logical representation that represent behaviour data. Specifically, optimum indicates capability in generalizing real datasets different variants and dimensions. main issues with extracted by standard techniques are lack interpretability weakness terms structural arrangement 2 Satisfiability causing lower accuracy. To address issues, permutation serves as an alternative mechanism can enhance probability rule becoming true utilizing definitive finite attributes. This work aims examine analyze significant effect on performance data extraction ability incorporated recurrent discrete Hopfield Neural Network. Based theory, associate memories Network will potentially improve accuracy existing approach. validate impact retrieval phase model, proposed experimentally tested a class benchmark ranging from multivariate time-series datasets. experimental results show improvement permutation-based according domains such compatibility, accuracy, competitiveness opposed plethora Reverse Analysis methods.
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ژورنال
عنوان ژورنال: Computers, materials & continua
سال: 2023
ISSN: ['1546-2218', '1546-2226']
DOI: https://doi.org/10.32604/cmc.2023.032654