Ontology-Based Neuro-Symbolic AI: Effects on Prediction Quality and Explainability

Artificial intelligence (AI) systems, based on neural networks are becoming ubiquitous. However, in many cases, their application is constrained by the lack of interpretability. One of the ways of overcoming this limitation is neuro-symbolic approaches, where the neural network is complemented by so...

全面介绍

书目详细资料
Main Authors: Alexander Smirnov, Andrew Ponomarev, Anton Agafonov
格式: 文件
语言:English
出版: IEEE 2024-01-01
丛编:IEEE Access
主题:
在线阅读:https://ieeexplore.ieee.org/document/10731866/