Ag0.002Al0.998 1.13
Ag0.005Zn0.995 0.76
Ag0.035Cd0.01Sn0.955 3.65
Ag0.03Tl0.97 2.67
Ag0.05Rh0.04Ti0.91 1.95
Ag0.12In0.88 4.69
Ag0.15Bi0.85 5.30
Ag0.15Pb0.975Sn0.01 7.25
Ag0.167Al0.833 0.88
Ag0.1In0.9Te1 1.20
Ag0.1Tl0.9 3.57
Ag0.25Cu0.75Ba2Ca3Cu4O11 117.10
Ag0.2In0.8Te1 0.77
Ag0.438Hg0.562 0.64
Ag0.45Ge0.55 1.50
Ag0.625Al0.375 0.11
Ag0.65Al0.35 0.10
Ag0.667Al0.333 0.13
Ag0.6Al0.4 0.09
Ag0.76Sn1.24Se2 6.72
Ag0.775Sn0.225 0.09
Ag0.795Sn0.205 0.09
Ag0.7Al0.3 0.11
Ag0.7Mo3Se4 5.96
Ag0.7Mo4Se5 5.96
Ag0.7Zn0.3 0.01
Ag0.815Sn0.185 0.06
Ag0.81In0.19 0.01
Ag0.81Sn1.19Se2 6.42
Ag0.825Sn0.175 0.06
Ag0.828Ga0.172 0.12
Ag0.82Sn0.18 0.07
Ag0.835Sn0.165 0.05
Ag0.845Sb0.155 0.04
Ag0.845Sn0.155 0.03
Ag0.85Sn1.15Se2 6.18
Ag0.865Sb0.135 0.03
Ag0.875Ga0.125 0.02
Ag0.885Sb0.115 0.02
Ag0.8Ga0.2 6.50
Ag0.92Sn1.08Se2 5.57
Ag0.94Tl0.06 2.32
Ag0.95Sn1.05Se2 5.25
Ag0.9Ga0.1 0.01
Ag0.9Sn1.1Se1.8S0.2 6.79
Ag1.2Mo4.8S6 8.90
Ag1B2 6.70
Ag1Ba2Ca2Cu3O9 110.00
Ag1Ba2Ca3Cu4O11 117.00
Ag1Ba2Ca4Cu5O13 105.00
Ag1Ba2Ca5Cu6O15 80.00
Ag1Bi1 2.78
Ag1Bi2 3.00
Ag1In2 2.35
Ag1La1 1.06
Ag1Mo4S5 7.77
Ag1Mo6S8 7.70
Ag1Nb3 8.28
Ag1Sn1Se1.8S0.2 5.79
Ag1Sn1Se2 4.68
Ag1Te3 2.60
Ag1Tl1 2.67
Ag2F1 0.07
Ag2I1 0.07
Ag2In1 2.11
Ag2Pb3S1 1.13
Ag2Pd3S1 1.13
Ag3.3Al1 0.34
Ag4Ge1 0.85
Ag5Pb2O6 0.05
Ag7B4F4O8 0.15
Ag7F0.25N0.75O10.25 1.04
Ag7F1O8 0.30
Ag7F2H1O8 1.50
Ag7F4O8B1 0.15
Ag7H1F2O8 1.38
Ag7N0.75O10.25F0.25 0.85
Ag7N1O11 1.03
Al0.005V0.995 4.82
Al0.01Au0.92In0.07 0.03
Al0.01Nb0.97O0.02 8.30
Al0.01V0.99 4.49
Al0.029Ti0.971 0.65
Al0.02Au0.92Ga0.06 0.16
Al0.02Au0.92In0.06 0.03
Al0.02V0.98 4.05
Al0.03Au0.92In0.05 0.04
Al0.03Ti0.81V0.16 5.10
Al0.046In0.151Sn0.803 4.38
Al0.04Au0.92Ga0.04 0.10
Al0.04Au0.92In0.04 0.06
Al0.04Nb0.895O0.06 7.10
Al0.04V0.96 3.31
Al0.053Ti0.947 0.70
Al0.0563Au0.92In0.0237 0.06
Al0.05Au0.92In0.03 0.07
Al0.05Au0.95 0.01
Al0.05Nb3Sn0.95 18.00
Al0.06Au0.92Ga0.02 0.09
Al0.06Au0.92In0.02 0.06
Al0.06V0.94 2.83
Al0.07Au0.92In0.01 0.08
Al0.08Au0.92 0.09
Al0.08V0.92 2.36
Al0.102Ti0.898 0.73
Al0.108V0.892 1.82
Al0.12V0.88 1.73
Al0.131Cr0.088V0.781 1.46
Al0.14Au0.86 0.39
Al0.152Sn0.848 3.68
Al0.175Nb0.775Zr0.05 10.00
Al0.18La0.82 4.65
Al0.1Be0.9 7.20
Al0.1Fe0.9Se0.85 8.50
Al0.1Ga0.9V3 13.90
Al0.1Si0.9V3 16.10
Al0.1V0.9 1.96
Al0.215Nb0.785 17.97
Al0.22La0.78 4.30
Al0.22Nb0.75Si0.3 19.20
Al0.23Nb0.75Zr0.013 18.30
Al0.245Nb0.725 18.40
Al0.25Fe0.75Se0.85
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使用KerasDNN实现金属导体温度预测.完整代码数据可直接运行
共91个文件
v2:48个
h5:24个
txt:5个
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使用KerasDNN实现金属导体温度预测.完整代码数据可直接运行
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使用KerasDNN实现金属导体温度预测.rar (91个子文件)
使用KerasDNN实现金属导体温度预测
Tc-Transformer-on-Keras-main
utils.py 2KB
data
test1.txt 5B
insulator.txt 595KB
test.txt 8KB
superconductor.txt 976KB
predict.py 2KB
model.py 27KB
run.py 3KB
predict
test_answer.txt 66B
model
ATCNN1.h5 5.55MB
Dense3.h5 994KB
OATCNN_1_1.h5 818KB
OATCNN_3_1.h5 13.16MB
SelfAttention_3_1.h5 2.45MB
Transform_2_1.h5 23.73MB
Dense2.h5 994KB
SelfAttention_2_1.h5 1.28MB
Transform_3_1.h5 3.02MB
Transform_1_1.h5 37.3MB
SelfAttention_1_2.h5 1.73MB
ATCNN3.h5 5.55MB
Transform_4_1.h5 5.85MB
Dense1.h5 994KB
ATCNN4.h5 5.55MB
RESATCNN_2_1.h5 39.56MB
RESATCNN_1_1.h5 28.73MB
ATCNN5.h5 5.55MB
SelfAttention_1_1.h5 1.73MB
OATCNN_2_1.h5 908KB
ATCNN2.h5 5.55MB
Dense4.h5 994KB
Dense5.h5 994KB
SelfAttention_4_1.h5 2.62MB
logs
Transform_1_log1
train
events.out.tfevents.1647101671.ROG.422.0.v2 2.76MB
validation
events.out.tfevents.1647101697.ROG.422.1.v2 1.68MB
Dense_log5
train
events.out.tfevents.1646001549.ROG.330.8.v2 1011KB
validation
events.out.tfevents.1646001553.ROG.330.9.v2 1.68MB
ATCNN_log2
train
events.out.tfevents.1645855614.ROG.279.2.v2 941KB
validation
events.out.tfevents.1645855617.ROG.279.3.v2 1.68MB
SelfAttention_4_log1
train
events.out.tfevents.1647656202.ROG.516.0.v2 1.99MB
validation
events.out.tfevents.1647656219.ROG.516.1.v2 1.68MB
SelfAttention_1_log2
train
events.out.tfevents.1647032276.ROG.687.2.v2 1.57MB
validation
events.out.tfevents.1647032287.ROG.687.3.v2 1.68MB
Transform_3_log1
train
events.out.tfevents.1647267752.ROG.697.0.v2 2.24MB
validation
events.out.tfevents.1647267766.ROG.697.1.v2 2.69MB
Dense_log1
train
events.out.tfevents.1645978596.ROG.330.0.v2 1005KB
validation
events.out.tfevents.1645978601.ROG.330.1.v2 1.68MB
ATCNN_log1
train
events.out.tfevents.1645850734.ROG.279.0.v2 938KB
validation
events.out.tfevents.1645850741.ROG.279.1.v2 1.68MB
Dense_log4
train
events.out.tfevents.1645995772.ROG.330.6.v2 1011KB
validation
events.out.tfevents.1645995776.ROG.330.7.v2 1.68MB
ATCNN_log5
train
events.out.tfevents.1645870217.ROG.279.8.v2 942KB
validation
events.out.tfevents.1645870220.ROG.279.9.v2 1.68MB
Transform_2_log1
train
events.out.tfevents.1647186643.ROG.287.0.v2 2.76MB
validation
events.out.tfevents.1647186676.ROG.287.1.v2 1.68MB
ATCNN_log4
train
events.out.tfevents.1645865319.ROG.279.6.v2 942KB
validation
events.out.tfevents.1645865322.ROG.279.7.v2 1.68MB
Dense_log3
train
events.out.tfevents.1645990015.ROG.330.4.v2 1011KB
validation
events.out.tfevents.1645990018.ROG.330.5.v2 1.68MB
SelfAttention_1_log1
train
events.out.tfevents.1647015868.ROG.687.0.v2 1.54MB
validation
events.out.tfevents.1647015880.ROG.687.1.v2 1.68MB
SelfAttention_2_log1
train
events.out.tfevents.1647531995.ROG.295.0.v2 1.84MB
validation
events.out.tfevents.1647532010.ROG.295.1.v2 1.68MB
RESATCNN_2_log1
train
events.out.tfevents.1646322080.drl.685453.0.v2 2.23MB
validation
events.out.tfevents.1646322102.drl.685453.1.v2 1.68MB
OATCNN_3_log1
train
events.out.tfevents.1646192512.ROG.942.0.v2 938KB
validation
events.out.tfevents.1646192519.ROG.942.1.v2 1.68MB
Dense_log2
train
events.out.tfevents.1645984281.ROG.330.2.v2 1011KB
validation
events.out.tfevents.1645984285.ROG.330.3.v2 1.68MB
ATCNN_log3
train
events.out.tfevents.1645860473.ROG.279.4.v2 942KB
validation
events.out.tfevents.1645860476.ROG.279.5.v2 1.68MB
OATCNN_1_log1
train
events.out.tfevents.1646104661.ROG.493.0.v2 929KB
validation
events.out.tfevents.1646104667.ROG.493.1.v2 1.68MB
SelfAttention_3_log1
train
events.out.tfevents.1647618551.ROG.283.0.v2 1.84MB
validation
events.out.tfevents.1647618567.ROG.283.1.v2 1.68MB
OATCNN_2_log1
train
events.out.tfevents.1646128513.ROG.29195.0.v2 950KB
validation
events.out.tfevents.1646128518.ROG.29195.1.v2 1.68MB
RESATCNN_1_log1
train
events.out.tfevents.1646260858.ROG.604.0.v2 1.54MB
validation
events.out.tfevents.1646260879.ROG.604.1.v2 1.68MB
Transform_4_log1
train
events.out.tfevents.1647356671.ROG.494.0.v2 2.76MB
validation
events.out.tfevents.1647356695.ROG.494.1.v2 1.68MB
train.py 2KB
__pycache__
predict.cpython-37.pyc 2KB
train.cpython-37.pyc 2KB
utils.cpython-37.pyc 2KB
model.cpython-37.pyc 22KB
.idea
这是预测超导转变温度在Keras框架下的实验, 停止更新, 留档.iml 408B
workspace.xml 18KB
misc.xml 294B
modules.xml 415B
encodings.xml 138B
共 91 条
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