Pthon语言应用Keras实现ANN模型搭建（应用在预测）

最新推荐文章于 2025-07-17 00:43:07 发布

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最新推荐文章于 2025-07-17 00:43:07 发布 · 4k 阅读

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使用Python的Keras库搭建并训练了一个ANN模型，应用于时间序列预测。通过K Fold交叉验证评估模型性能，计算了MAPE、RMSE和MABE等指标，并将预测结果保存到文件。

from keras import metrics
from sklearn.preprocessing import MinMaxScaler
import numpy as np
from keras.models import Sequential
from keras.layers import LSTM, Dense,Dropout,Bidirectional,Activation,TimeDistributed
import csv
from sklearn.model_selection import train_test_split
from pylab import*
from sklearn import preprocessing
from sklearn.preprocessing import MinMaxScaler
import time
from matplotlib import pyplot
import math
from random import random
from sklearn.model_selection import KFold
from sklearn.pipeline import Pipeline
from sklearn.model_selection import  cross_val_score, KFold
from pylab import*
from sklearn.utils import shufflei=0
j=[]
data = []
X = []
indicess = []
xback =24
with open(r'D:\多云新.csv') as f:
    reader = csv.reader(f)
    for row in reader:
            if i == 0:
                i += 1