User Preference-Based Dual-Memory Neural Model With Memory Consolidation Approach

IEEE Transactions on Neural Networks and Learning Systems(2018)

引用 9|浏览25
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摘要
Memory modeling has been a popular topic of research for improving the performance of autonomous agents in cognition related problems. Apart from learning distinct experiences correctly, significant or recurring experiences are expected to be learned better and be retrieved easier. In order to achieve this objective, this paper proposes a user preference-based dual-memory adaptive resonance theory...
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关键词
Adaptation models,Robots,Semantics,Subspace constraints,Spatiotemporal phenomena,Encoding,Memory management
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