训练神经网络用来预测的简单实例训练神经网络用来预测的简单实例
研一学生，老师布置的一个tensorflow任务。搭建简单的全链接神经网络，再根据几个影响洪水流量的因素，来预测洪水流量。
下面是代码。
import tensorflow as tf
import numpy as np
"""定义数据形式"""
x_data = np.asarray([[84,21.6,4,110,2,1410],
[29.5,34,2.27,110,3,1770],
[152.5,24.9,1.95,90.3,3,1360],
[40.1,22.7,2.67,89.7,3,1133],
[110.6,23.2,1.11,110,1,449],
[74,9.5,1.42,99.5,2,780],
[14,9.9,1.75,45.3,1,1100],
[339.2,38,14.14,110,2,5870],
[187.1,31.9,4.16,23,1,2310],
[18.7,19.8,0.52,88.9,1,391],
[39.1,25.6,1.63,28.2,3,72],
[110.3,58.9,4.2,70.4,1,604],
[89.1,26.4,3.71,966.8,2,280],
[40.3,18.5,0.9,110,3,649],
[93.6,16.3,1.36,96.6,2,394],
[93.6,24.8,3.9,87.2,3,368],
[23.2,7.1,0.45,78.6,2,93.5],
[35.5,6,0.22,98.7,1,199],
[58.4,19.8,1.15,47.6,1,200],
[61.8,18.3,1.37,61.5,1,68.6]])
x_data1 = np.asarray([[183.5,46.2,3.6,82.8,2,333],
[146.5,23.1,1.63,59.8,2,350],
[142.4,28.8,2.79,39.5,2,1580],
[49.8,21.3,1.04,71.3,3,106],
[75.5,31.9,3.6,53.8,1,42.6]])
X= np.asarray([[84,21.6,4,110,2,1410],
[29.5,34,2.27,110,3,1770],
[152.5,24.9,1.95,90.3,3,1360],
[40.1,22.7,2.67,89.7,3,1133],
[110.6,23.2,1.11,110,1,449],
[74,9.5,1.42,99.5,2,780],
[14,9.9,1.75,45.3,1,1100],
[339.2,38,14.14,110,2,5870],
[187.1,31.9,4.16,23,1,2310],
[18.7,19.8,0.52,88.9,1,391],
[39.1,25.6,1.63,28.2,3,72],
[110.3,58.9,4.2,70.4,1,604],
[89.1,26.4,3.71,966.8,2,280],
[40.3,18.5,0.9,110,3,649],
weixin_38732454
- 粉丝: 6
- 资源: 952
我的内容管理
收起
- 我的资源
快来上传第一个资源
我的收益 登录查看自己的收益
我的积分
登录查看自己的积分
我的C币
登录后查看C币余额
我的收藏 
我的下载 
下载帮助
评论0