2024年7月1日 · We developed and trained deep neural network (DNN), one-dimensional convolutional neural network (1D-CNN), and gated recurrent unit (GRU) models to predict …

This study exploited the merits of a process-based model (WOFOST) and empirical statistical model (RF or GRU), and developed corn yield prediction models under various input …

We developed and trained deep neural network (DNN), one-dimensional convolutional neural network (1D-CNN), and gated recurrent unit (GRU) models to predict county-level corn and …

By more accurately monitoring crop harvests, information can be obtained that increases food production (Dodds and Bartram 2016). A type of mechanism that hasn’t been applied to this …

2022年2月4日 · GRU（Gated Recurrent Unit，门控循环单元）是一种循环神经网络（Recurrent Neural Network, RNN）变体，旨在处理序列数据。GRU在LSTM（Long Short-Term …

GRU（Gated Recurrent Unit，门控循环单元）是一种循环 神经网络 （Recurrent Neural Network, RNN）变体，旨在处理序列数据。 GRU在LSTM（Long Short-Term Memory，长短期记忆网 …

Gated Recurrent Unit (GRU) 是由 Cho, et al. (2014) 1 提出的一种循环神经网络结构，它的目的是缓解标准的循环神经网络（RNN）存在的梯度消失问题。 GRU 和 LSTM 有着相似的设计思 …

本文介绍了门控循环单元（GRU）模型的数学原理、代码实现和应用实例。首先，文章详细解释了GRU模型中的重置门和更新门的作用，以及如何使用这些门来控制隐藏状态的更新。接着， …

GRU（Gate Recurrent Unit）是循环神经网络（Recurrent Neural Network, RNN）的一种。 和LSTM（Long-Short Term Memory）一样，也是为了解决长期记忆和反向传播中的梯度等问题 …

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