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DEVICE AND METHOD FOR GENERATING ARTIFICIAL NEURAL NETWORK-BASED PREDICTION MODEL

机译:生成基于人工神经网络的预测模型的装置和方法

摘要

Disclosed is an apparatus for generating an artificial-neural-network-based prediction model. The apparatus includes an input data conversion unit configured to convert input data of an L-dimensional array (L is a natural number) into normalized vector data and input the normalized vector data, a modeling unit configured to model an artificial-neural-network-based prediction model for learning the input vector data and output a value predicted through the modeling, and an adjustment unit configured to compare the value predicted by the modeling unit with an actually measured value to calculate an error value and adjust learning parameters of an artificial neural network using the error value and a back-propagation algorithm.
机译:公开了一种用于生成基于人工神经网络的预测模型的设备。该装置包括:输入数据转换单元,被配置为将L维数组(L是自然数)的输入数据转换为归一化矢量数据,并输入归一化矢量数据;建模单元,被配置为对人工神经网络模型进行建模。基于预测模型,用于学习输入矢量数据并输出通过建模预测的值,以及调整单元,配置为将建模单元预测的值与实际测量值进行比较,以计算误差值并调整人工神经的学习参数网络使用误差值和反向传播算法。

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