Memory, parameter sharing and Turing completeness, so RNN has certain advantages in learning the nonlinear characteristics of sequences. RNN is applied in natural language processing (NLP), such as speech recognition, language modeling, machinetranslation and other fields. It is also used in various time series prediction.
Installation: matlab/python
Operation mode:
Input variable: time series data
Output variable: Training data
QR code:
安装方式:
安装matlab/python
运行方式:
在matlab/PyCharm中打开脚本文件即可运行
输入变量:
时间序列数据
输出变量:
训练数据
二维码:
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