Extracting rules from trained neural networks

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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019, neutral): “Multi-Layer Neural Networks Explanation by simplification Rule-based learner: [82, 83, 147, 148, 246, 247, 248, 249, 250, 251]”
DeepRED - Rule Extraction from Deep Neural Networks (2016, methodology): “Examples for decompositional approaches are the KT method that heuristically searches for input combinations that let a neuron fire [7], a more efficient implementation of the latter [20], and an algorithm that transforms NNs to fuzzy rules [3].”