本文描述了,在污水数据背景下,利用长短期记忆神经网络对水质预测的方案。运行代码稳定可靠。
# No Pains,No Gains! # @Time:2022/11/29 20:52 import numpy import math import keras import matplotlib.pyplot as plt import matplotlib.dates as mdates from pandas import read_csv import pandas as pd from keras.models import Sequential from tensorflow.keras import datasets from keras.datasets import mnist from keras.layers import Dense, Dropout, LSTM from sklearn.preprocessing import StandardScaler, MinMaxScaler from sklearn.metrics import mean_squared_error, mean_absolute_error import tensorflow as tf import os import numpy as np import seaborn as sns from tensorflow import optimizers from sklearn.model_selection import train_test_split # 导入数据 dataframe = read_csv('nh4.csv', engine='python', skipfooter=0) dataframe['date'] = pd.to_datetime(dataframe['date']) dataset = dataframe['values'].values dataset = numpy.array(dataset) dataset.resize(len(