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首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Concurrent Associative Memories With Synaptic Delays
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Concurrent Associative Memories With Synaptic Delays

机译：突触延迟的并发关联记忆

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摘要

This article presents concurrent associative memories with synaptic delays useful for processing sequences of real vectors. Associative memories with synaptic delays were introduced by the authors for symbolic sequential inputs and demonstrated several advantages over other sequential memories. They were easy to organize and train. It was demonstrated that they were more robust than long short-term memories in recognition of damaged sequences. The associative memories can be applied in combination with deep neural networks to solve such symbol grounding problems, such as speech recognition, and support sequential memories triggered by sensory inputs. Several practical considerations for developed memories were discussed and illustrated. A continuous speech database was used to compare the developed method with LSTM memories. Tests demonstrated that the developed approach is more robust in recognition of speech sequences, particularly when the test sequences are damaged.
机译：本文介绍了具有适用于处理实际向量序列的突触延迟的并发关联存储器。 作者引入了突触延迟的关联存储器，用于符号顺序输入，并以其他顺序存储器展示了几个优点。 他们很容易组织和火车。 人们证明它们比长期的短期记忆更加坚固，以识别受损序列。 联想存储器可以与深神经网络组合应用，以解决这些符号接地问题，例如语音识别，并支持由感觉输入触发的顺序存储器。 讨论和说明了发达的回忆的几种实际考虑因素。 连续语音数据库用于将开发方法与LSTM存储器进行比较。 测试证明，在识别语音序列时，开发方法更加稳健，特别是当测试序列损坏时。

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