x y
-6.28319 2.44929e-16
-6.26922 0.0139622
-6.25526 0.0279216
-6.2413 0.0418757
-6.22733 0.0558215
-6.21337 0.0697565
-6.19941 0.0836778
-6.18545 0.0975829
-6.17148 0.111469
-6.15752 0.125333
-6.14356 0.139173
-6.1296 0.152986
-6.11563 0.166769
-6.10167 0.180519
-6.08771 0.194234
-6.07375 0.207912
-6.05978 0.221548
-6.04582 0.235142
-6.03186 0.24869
-6.0179 0.262189
-6.00393 0.275637
-5.98997 0.289032
-5.97601 0.30237
-5.96204 0.315649
-5.94808 0.328867
-5.93412 0.34202
-5.92016 0.355107
-5.90619 0.368125
-5.89223 0.38107
-5.87827 0.393942
-5.86431 0.406737
-5.85034 0.419452
-5.83638 0.432086
-5.82242 0.444635
-5.80846 0.457098
-5.79449 0.469472
-5.78053 0.481754
-5.76657 0.493942
-5.75261 0.506034
-5.73864 0.518027
-5.72468 0.529919
-5.71072 0.541708
-5.69675 0.553392
-5.68279 0.564967
-5.66883 0.576432
-5.65487 0.587785
-5.6409 0.599024
-5.62694 0.610145
-5.61298 0.621148
-5.59902 0.632029
-5.58505 0.642788
-5.57109 0.653421
-5.55713 0.663926
-5.54317 0.674302
-5.5292 0.684547
-5.51524 0.694658
-5.50128 0.704634
-5.48732 0.714473
-5.47335 0.724172
-5.45939 0.73373
-5.44543 0.743145
-5.43146 0.752415
-5.4175 0.761538
-5.40354 0.770513
-5.38958 0.779338
-5.37561 0.788011
-5.36165 0.79653
-5.34769 0.804894
-5.33373 0.813101
-5.31976 0.821149
-5.3058 0.829038
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-5.22203 0.872922
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-4.76126 0.998806
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-4.71937 0.999976
-4.70541 0.999976
-4.69145 0.999781
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-4.60767 0.994522
-4.59371 0.992966
-4.57974 0.991216
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-4.55182 0.987136
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-4.1469 0.844328
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-4.11898 0.829038
-4.10501 0.821149
-4.09105 0.813101
-4.07709 0.804894
-4.06313 0.79653
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-4.0352 0.779338
-4.02124 0.770513
-4.00728 0.761538
-3.99331 0.752415
-3.97935 0.743145
-3.96539 0.73373
-3.95143 0.724172
-3.93746 0.714473
-3.9235 0.704634
-3.90954 0.694658
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-3.88161 0.674302
-3.86765 0.663926
-3.85369 0.653421
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-3.42085 0.275637
-3.40688 0.262189
-3.39292 0.24869
-3.37896 0.235142
-3.36499 0.221548
-3.35103 0.207912
-3.33707 0.194234
-3.32311 0.180519
-3.30914 0.166769
-3.29518 0.152986
-3.28122 0.139173
-3.26726 0.125333
-3.25329 0.111469
-3.23933 0.0975829
-3.22537 0.0836778
-3.21141 0.0697565
-3.19744 0.0558215
-3.18348 0.0418757
-3.16952 0.0279216
-3.15556 0.0139622
-3.14159 -4.56336e-15
-3.12763 -0.0139622
-3.11367 -0.0279216
-3.0997 -0.0418757
-3.08574 -0.0558215
-3.07178 -0.0697565
-3.05782 -0.0836778
-3.04385 -0.0975829
-3.02989 -0.111469
-3.01593 -0.125333
-3.00197 -0.139173
-2.988 -0.152986
-2.97404 -0.166769
-2.96008 -0.180519
-2.94612 -0.194234
-2.93215 -0.207912
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-2.86234 -0.275637
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-2.83441 -0.30237
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-2.80649 -0.328867
-2.79253 -0.34202
-2.77856 -0.355107
-2.7646 -0.368125
-2.75064 -0.38107
-2.73668 -0.393942
-2.72271 -0.406737
-2.70875 -0.419452
-2.69479 -0.432086
-2.68083 -0.444635
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-1.29852 -0.963163
-1.28456 -0.95
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用C++实现多层神经网络BP算法,拟合一元非线性函数(以y=sin(x)为例)
共50个文件
tlog:12个
obj:8个
txt:5个
1 下载量 74 浏览量
2023-11-06
01:24:14
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C++实现BP多层神经网络拟合y=sin(x)
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C++实现BP神经网络拟合y=sin(x).zip (50个子文件)
BP
NeuralNet.h 1KB
bias.txt 98B
Neuron.h 1KB
BP.vcxproj.user 168B
BP.vcxproj 7KB
dataset.txt 19KB
main.cpp 838B
x64
Debug
BP.log 637B
vc142.idb 651KB
vc142.pdb 772KB
NeuralNet.obj 1.14MB
Util.obj 426KB
BP.ilk 2.03MB
BP.tlog
CL.write.1.tlog 6KB
BP.lastbuildstate 172B
CL.command.1.tlog 6KB
link.command.1.tlog 4KB
link.read.1.tlog 10KB
link.write.1.tlog 2KB
CL.read.1.tlog 259KB
BP.exe.recipe 302B
main.obj 220KB
Neuron.obj 3KB
weights.txt 200B
Util.h 2KB
Neuron.cpp 111B
BP.vcxproj.filters 1KB
Util.cpp 2KB
Debug
BP.log 136B
vc142.idb 643KB
vc142.pdb 724KB
NeuralNet.obj 858KB
Util.obj 339KB
BP.ilk 1.92MB
BP.tlog
CL.write.1.tlog 3KB
BP.lastbuildstate 180B
CL.command.1.tlog 3KB
link.command.1.tlog 2KB
link.read.1.tlog 4KB
link.write.1.tlog 940B
CL.read.1.tlog 129KB
BP.Build.CppClean.log 1KB
BP.exe.recipe 304B
main.obj 181KB
Neuron.obj 3KB
BP.vcxproj.FileListAbsolute.txt 0B
NeuralNet.cpp 10KB
BP.sln 1KB
本程序需要安装VS和EasyX图形库后方可运行.txt 171B
EasyX_2023.exe 357KB
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