python GM11
常见系统分类:
- 白色系统是指一个系统的内部特征是完全 已知的,即系统的信息是完全充分的。
- 黑色系统是指一个系统的内部信息对外界来说是一无所知的,只能通过它与外界的联系来加以观测研究。
- 灰色系统内的一部分信息是已知的,另一部分信息是未知的,系统内各因素间有不确定的关系。
代码实现
# -*- coding=utf-8 -*- import numpy as np import matplotlib.pyplot as plt from greytheory import GreyTheory import pymysql def predict(list): grey = GreyTheory() gm11 = grey.gm11 gm11.alpha = 0.5 gm11.length = 4 gm11.stride = 1 # gm11.convolution = False # 默认为False for num in list: gm11.add_pattern(num, num) gm11.forecast() for forecast in gm11.analyzed_results: # print(forecast.forecast_value) if forecast.tag != gm11._TAG_FORECAST_HISTORY: res = forecast.forecast_value print("result:", res) x1 = np.linspace(0, len(gm11.patterns), len(gm11.patterns), endpoint=True) plt.plot(x1, gm11.patterns) predict_list = [] # 预测的值在分析结果内,最终把预测的值加入到列表内 for num in gm11.analyzed_results: predict_list.append(num.forecast_value) x2 = np.linspace(0, len(predict_list), len(predict_list), endpoint=True) plt.plot(x2, predict_list) plt.show() def connectMySql(): conn = pymysql.connect(host='localhost', user='root', passwd='123456', port=3306, db='mydb', charset='utf8') cur = conn.cursor() cur.execute("select * from stu") nums = len(cur.fetchall()) # 获取数据库的行数 print(nums) cur.execute("select * from stu where id <= 10") str = cur.fetchall() cur.close() conn.close() return str if __name__ == "__main__": data = [] list = connectMySql() for i in list: data.append(i[0]) print(data) predict(data)
结果:
蓝色线条表示真实值
橙色线条表示预测值