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REM-ART: Reward-based Electromagnetic Adaptive Resonance Theory

机译：REM-ART：基于奖励的电磁自适应共振理论

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This paper proposes a Reward-based Electromagnetic Adaptive Resonance Theory (REM-ART) mainly for reducing the retrieval error, which can store and retrieve episodes consisting of a temporal sequence of events. With the existing EM-ART it is difficult to predict a correct episode when there are noisy inputs that are sparse or distorted. To overcome this problem, the proposed REM-ART has a reward channel along with an event channel, lending it robustness to noisy inputs. The reward channel generates a reward signal to reinforce the activation of a proper episode node. The proposed REM-ART is applied to predict and retrieve a correct episode from noisy inputs, out of episodes that are stored through the visual demonstration using an RGB-D camera.
机译：本文提出了一种基于奖励的电磁自适应共振理论（REM-ART），主要用于减少检索错误，该错误可以存储和检索由事件的时间序列组成的情节。使用现有的EM-ART，当输入的声音稀疏或失真时，很难预测正确的情节。为克服此问题，建议的REM-ART具有奖励通道和事件通道，从而使其对噪声输入具有鲁棒性。奖励频道生成奖励信号以加强适当情节节点的激活。拟议的REM-ART用于通过使用RGB-D摄像机通过视觉演示存储的情节中的有噪声输入来预测和检索正确的情节。

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