Dec 30, 2011 · This paper proposes the new rule extraction algorithm RxREN to overcome this drawback. In pedagogical approach the proposed algorithm extracts the rules from ...
This paper presents an algorithm to extract symbolic rules from trained artificial neural networks (ANNs), called ERANN. In many applications, it is desirable ...
This paper has thoroughly reviewed various rule extraction algorithms, considering the classification scheme: decompositional, pedagogical, and eclectics, ...
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This paper has thoroughly reviewed various rule extraction algorithms, considering the classification scheme: decompositional, pedagogical, and eclectics. It ...
Dec 21, 2023 · Reverse engineering the neural networks for rule extraction in classification problems. Neural processing letters, 35:131–150, 2012. doi ...
We describe our Neural Network Knowledge eXtraction (NNKX) system and provide experimental results of rule extraction from the trained multi-layered feed- ...
Mar 11, 2022 · This paper proposes an algorithm named Reverse Engineering Recursive Rule Extraction (RE-Re-RX) for symbolic rule extraction from neural network with mixed ...
The presented algorithm generates rules by changing the input data and classifying them using the Reverse Engineering approach. After processing the data, the ...
Therefore, this paper proposes a rule extraction algorithm from neural network using classified and misclassified data to convert the black box nature of ...
Oct 22, 2024 · Among them, the most recent is RxNCM, which extracts rules by reverse engineering a Neural Network by removing inconsequential input neurons and ...