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Hybrid Approaches for Case Retrieval and Adaptation

机译:案例检索和适应的混合方法

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The number of researches on hybrid models has been grown significantly in the last years, both in the development of intelligent systems and in the study of cognitive models. The integration of Case Based Reasoning and Artificial Neural Networks has received large attention by the area of neurosymbolic models. This paper proposes a new Case Based Reasoning approach using hybrid mechanisms for case retrieval and adaptation.
机译:在智能系统的发展和认知模型研究中,过去几年对混合模型的研究数量显着增加。基于案例的推理和人工神经网络的整合受到神经组织模型面积的巨大关注。本文提出了一种利用混合机制的基于案例的推理方法,以便检索和适应。

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