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
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资源评论
