import?tensorflow.compat.v1?as?tf
tf.disable_v2_behavior（）
from?numpy.random?import?RandomState
import?pandas?as?pd
import?numpy?as?np
import?time

#定義神經(jīng)網(wǎng)絡(luò)的參數(shù)
d=3#輸入節(jié)點個數(shù)
l=1#輸出節(jié)點個數(shù)
q=2*d+1#隱層個數(shù)采用經(jīng)驗公式2d+1
train_num=480#訓練數(shù)據(jù)個數(shù)
test_num=240#測試數(shù)據(jù)個數(shù)
eta=0.5#學習率
error=0.0009#精度

#初始化權(quán)值和閾值
w1=?tf.Variable（tf.random.normal（[d?q]?stddev=1?seed=1））#seed設(shè)定隨機種子，保證每次初始化相同數(shù)據(jù)
b1=tf.Variable（tf.constant（0.0shape=[q]））
w2=?tf.Variable（tf.random.normal（[q?l]?stddev=1?seed=1））
b2=tf.Variable（tf.constant（0.0shape=[l]））

#輸入占位
x?=?tf.placeholder（tf.float32?shape=（None?d））#列數(shù)是d，行數(shù)不定
y_=?tf.placeholder（tf.float32?shape=（None?l））

#構(gòu)建圖：前向傳播
a=tf.nn.sigmoid（tf.matmul（xw1）+b1）#sigmoid激活函數(shù)
y=tf.nn.sigmoid（tf.matmul（aw2）+b2）
mse?=?tf.reduce_mean（tf.square（y_?-??y））#損失函數(shù)采用均方誤差
train_step?=?tf.train.AdamOptimizer（eta）.minimize（mse）#Adam算法
#train_step?=?tf.train.GradientDescentOptimizer（eta）.minimize（mse）#梯度下降法

#讀取氣溫數(shù)據(jù)
dataset?=?pd.read_csv（‘tem.csv‘?delimiter=““）
dataset=np.array（dataset）
mn=np.shape（dataset）
totalX=np.zeros（（m-dd））
totalY=np.zeros（（m-dl））
for?i?in?range（m-d）:#分組：前三個值輸入，第四個值輸出
????totalX[i][0]=dataset[i][0]
????totalX[i][1]=dataset[i+1][0]
????totalX[i][2]=dataset[i+2][0]
????totalY[i][0]=dataset[i+3][0]
#歸一化數(shù)據(jù)
Normal_totalX=np.zeros（（m-dd））
Normal_totalY=np.zeros（（m-dl））
nummin=np.min（dataset）
nummax=np.max（dataset）
dif=nummax-nummin
for?i?in?range（m-d）:
????for?j?in?range（d）:
????????Normal_totalX[i][j]=（totalX[i][j]-nummin）/dif
????Normal_totalY[i][0]=（totalY[i][0]-nummin）/dif

#截取訓練數(shù)據(jù)
X=Normal_totalX[:train_num-d:]
Y=Normal_totalY[:train_num-d:]
testX=Normal_totalX[train_num::]
testY=totalY[train_num::]
start?=?time.clock（）

#創(chuàng)建會話來執(zhí)行圖
with?tf.Session（）?as?sess:
????init_op?=?tf.global_variables_initializer（）#初始化節(jié)點
????sess.run（init_op）

????STEPS=0
????while?True:
????????sess.run（train_step?feed_dict={x:?X?y_:?Y}）
????????STEPS+=1
????????train_mse=?sess.run（mse?feed_dict={x:?X?y_:?Y}）
????????if?STEPS?%?10000?==?0:#每訓練100次，輸出損失函數(shù)
????????????print（“第?%d?次訓練后訓練集損失函數(shù)為：%g“?%?（STEPS?train_mse））
????????##if?train_mse????????##??break
????????if?STEPS>10000000:
??????????break

????print（“總訓練次數(shù)：“STEPS）
????end?=?time.clock（）
????print（“運行耗時（s）：“end-start）
	
	#測試
????Normal_y=?sess.run（y?feed_dict={x:?testX}）#求得測試集下的y計算值
????DeNormal_y=Normal_y*dif+nummin#將y反歸一化
????test_mse=?sess.run（mse?feed_dict={y:?DeNormal_y?y_:?testY}）#計算均方誤差
????print（“測試集均方誤差為：“test_mse）
	
	#預(yù)測
????XX=tf.constant（[[18.317.416.7]]）
????XX=（XX-nummin）/dif#歸一化
????a=tf.nn.sigmoid（tf.matmul（XXw1）+b1）
????y=tf.nn.sigmoid（tf.matmul（aw2）+b2）
????y=y*dif+nummin#反歸一化
????print（“[18.317.416.7]輸入下預(yù)測氣溫為：“sess.run（y））

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2019-12-09?08:42??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\
?????目錄???????????0??2019-12-08?10:10??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\
?????目錄???????????0??2019-12-08?13:27??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\
?????目錄???????????0??2019-12-09?08:23??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\.idea\
?????文件?????????441??2019-12-08?12:27??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\.idea\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）.iml
?????目錄???????????0??2019-12-08?10:13??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\.idea\inspectionProfiles\
?????文件?????????174??2019-12-08?10:13??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\.idea\inspectionProfiles\profiles_settings.xml
?????文件?????????294??2019-12-08?12:27??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\.idea\misc.xml
?????文件?????????367??2019-12-08?10:13??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\.idea\modules.xml
?????文件????????3758??2019-12-09?08:23??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\.idea\workspace.xml
?????目錄???????????0??2019-12-08?12:26??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\.ipynb_checkpoints\
?????文件??????????72??2019-12-08?12:26??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\.ipynb_checkpoints\Untitled-checkpoint.ipynb
?????文件??????????72??2019-12-08?12:26??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\Untitled.ipynb
?????文件????????3257??2019-12-08?13:27??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\bpnn_tf.py
?????文件????????4153??2019-03-09?19:57??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\tem.csv
?????文件???????????0??2019-12-08?10:17??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\untitled
?????文件????????3015??2019-12-08?10:10??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析%28python%2Btensorflow%29.rar
?????文件???????12386??2019-12-09?08:42??BP神經(jīng)網(wǎng)絡(luò)實例及代碼分析（python+tensorflow）\因版本不同的報錯處理方法.docx