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A model of the neural network for storage and retrieval of temporalsequences

机译:用于存储和检索时间序列的神经网络模型

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A novel method for the storage and the retrieval of temporalsequences of frames (neural movies) using the backpropagation learningprocedure is proposed. The strengths of the connections in the networkare adjusted during learning to store the various sequences. The neuralnetwork is able to repeat periodically during retrieval one sequence offrames from the recorded set. A simulation model was used to study theproperties and capabilities of the method
机译:提出了一种使用反向传播学习过程存储和检索帧(神经电影)时间序列的新方法。在学习存储各种序列时会调整网络中连接的强度。在从记录集中检索一个序列的帧期间,神经网络能够定期重复。仿真模型用于研究该方法的性质和功能。

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