python_data_analysis_and_mining_action-master-13

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov  8 23:05:54 2017
@author: lu
"""
 
import numpy as np
 
import matplotlib.pyplot as plt
import pandas as pd
from keras.layers.core import Activation, Dense
from keras.models import Sequential
from sklearn.linear_model import Lasso
 
 
"""
GM11-->自定义的灰度预测函
programmer_1-->读取文件提取基本信息
programmer_2-->用自定义的灰度预测函数，进行预测
programmer_3-->建立神经网络模型，进行预测并画图预测图
programmer_4-->使用自定义的灰度预测模型进行预测一组数据，并且画图
"""
 
 
def GM11(x0):
    # 1-AGO序列, 累计求和
    x1 = np.cumsum(x0)
    # 紧邻均值（ＭＥＡＮ）生成序列
    z1 = (x1[:-1] + x1[1:]) / 2.0
    z1 = z1.reshape(len(z1), 1)
    B = np.append(-z1, np.ones_like(z1), axis=1)
    Yn = x0[1:].reshape((len(x0) - 1, 1))
    # 矩阵计算，计算参数
    [[a], [b]] = np.dot(np.dot(np.linalg.inv(np.dot(B.T, B)), B.T), Yn)
    # 还原值