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Staged training of neural networks for improved time series prediction performance

机译:神经网络的分阶段训练以改善时间序列预测性能

摘要

An apparatus includes a processor to: train a first neural network of a chain to generate first configuration data including first trained parameters, wherein the chain performs an analytical function generating a set of output values from a set of input values, each neural network has inputs to receive the set of input values and outputs to output a portion of the set of output values, and the neural networks are ordered from the first at the head to a last neural network at the tail, and are interconnected so that each neural network additionally receives the outputs of a preceding neural network; train, using the first configuration data, a next neural network in the chain ordering to generate next configuration data including next trained parameters; and use at least the first and next configuration data and data indicating the interconnections to instantiate the chain to perform the analytical function.
机译:一种装置,包括处理器,其用于:训练链的第一神经网络以生成包括第一训练参数的第一配置数据,其中,所述链执行分析功能,该分析功能从一组输入值生成一组输出值,每个神经网络具有输入。接收输入值和输出的集合,以输出一组输出值的一部分,并且神经网络从头部的第一个神经网络到尾部的最后一个神经网络进行排序,并且相互连接,从而每个神经网络都额外接收先前神经网络的输出;使用第一配置数据训练链中的下一个神经网络,以生成包括下一个训练参数的下一个配置数据;并至少使用第一和下一个配置数据以及指示互连的数据来实例化链以执行分析功能。

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