![]() It explains their structural composition, signal propagation processes, and weight adjustment procedures, all of which are strategically employed to enable optimal learning within the context of the model. Second, the research explores the intricacies of the internal workings of backpropagation (BP) neural networks. Firstly, this paper explains the significance of interpretation as a cognitive bridge between AI and human cognition by emphasizing the critical relevance of interpretability in AI systems. Aiming at this problem, this paper systematically constructs the Automatic Interpretation Assessment System by integrating key components. Furthermore, existing interpretation assessment procedures must be revaluated to improve comprehensive instructional growth. It strongly emphasizes theory while providing basic content, resulting in minimal pupil growth. Nonetheless, interpretation education at many Chinese schools and universities is poor quality. The fast progress of artificial intelligence (AI) technology has significantly impacted the field of interpretation.
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