RNN+LSTM sinusoidal signal prediction complete code data video tutorial

Video explanation: RNN+LSTM sine signal prediction_bilibili_bilibili
Effect demonstration:

 Data Display:

Complete code: 
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error, mean_absolute_error
import math

# 输入数据时序步数
STEP = 4

# gauss状态分布随机信号数部分(origin)
data = pd.read_csv('12-06 15_54_07_sibato.csv')  # 读取文件
training_set = data.iloc[200:5212 - 1200, 1:3].values
training_set[:, 0] = training_set[:, 0] - 2.30

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Origin blog.csdn.net/qq_38735017/article/details/132417548