我看到最大位失败并且错误率没有改变
我是 FANN 的新手，我正在尝试使用 python 绑定来访问它。
ann = libfann.neural_net()
ann.create_sparse_array(3, (12, 8, 1))
ann.set_learning_rate(100)
ann.set_activation_function_output(libfann.SIGMOID_SYMMETRIC_STEPWISE)
ann.train_on_file("file.txt", 500, 50, 0.01)
对于 5352 个输入，该文件如下所示：
5352 12 1
29020800.0 384.78 371.8 373.33 377.37 377.3 -4.04 374.201 120.803 51.3301 61.7468 -10.4167
406.35
28088200.0 379.82 360.3 367.86 378.25 378.2 -10.39 374.824 123.364 47.1374 58.8249 -11.6875
409.0
44059900.0 381.8 354.24 374.57 372.5 372.5 2.07 374.466 125.843 42.8831 55.6365 -12.7534
402.55
etc。
但是当我运行这个程序时，它会在 5 秒内完成并打印以下内容：
Max epochs 500. Desired error: 0.0099999998.
Epochs 1. Current error: 2680.8283691406. Bit fail 5352.
Epochs 50. Current error: 2647.2299804688. Bit fail 5352.
Epochs 100. Current error: 2647.2299804688. Bit fail 5352.
Epochs 150. Current error: 2647.2299804688. Bit fail 5352.
Epochs 200. Current error: 2647.2299804688. Bit fail 5352.
Epochs 250. Current error: 2647.2299804688. Bit fail 5352.
Epochs 300. Current error: 2647.2299804688. Bit fail 5352.
Epochs 350. Current error: 2647.2299804688. Bit fail 5352.
Epochs 400. Current error: 2647.2299804688. Bit fail 5352.
Epochs 450. Current error: 2647.2299804688. Bit fail 5352.
Epochs 500. Current error: 2647.2299804688. Bit fail 5352.
有人能给我一个提示，告诉我可能出了什么问题吗？
I am new to using FANN and am trying to access it using the python bindings.
ann = libfann.neural_net()
ann.create_sparse_array(3, (12, 8, 1))
ann.set_learning_rate(100)
ann.set_activation_function_output(libfann.SIGMOID_SYMMETRIC_STEPWISE)
ann.train_on_file("file.txt", 500, 50, 0.01)
The file looks like this:
5352 12 1
29020800.0 384.78 371.8 373.33 377.37 377.3 -4.04 374.201 120.803 51.3301 61.7468 -10.4167
406.35
28088200.0 379.82 360.3 367.86 378.25 378.2 -10.39 374.824 123.364 47.1374 58.8249 -11.6875
409.0
44059900.0 381.8 354.24 374.57 372.5 372.5 2.07 374.466 125.843 42.8831 55.6365 -12.7534
402.55
etc for 5352 inputs.
But when I run this, it goes through in under 5 seconds and prints the following:
Max epochs 500. Desired error: 0.0099999998.
Epochs 1. Current error: 2680.8283691406. Bit fail 5352.
Epochs 50. Current error: 2647.2299804688. Bit fail 5352.
Epochs 100. Current error: 2647.2299804688. Bit fail 5352.
Epochs 150. Current error: 2647.2299804688. Bit fail 5352.
Epochs 200. Current error: 2647.2299804688. Bit fail 5352.
Epochs 250. Current error: 2647.2299804688. Bit fail 5352.
Epochs 300. Current error: 2647.2299804688. Bit fail 5352.
Epochs 350. Current error: 2647.2299804688. Bit fail 5352.
Epochs 400. Current error: 2647.2299804688. Bit fail 5352.
Epochs 450. Current error: 2647.2299804688. Bit fail 5352.
Epochs 500. Current error: 2647.2299804688. Bit fail 5352.
Can someone give me a hint on what could be going wrong?
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根据参考手册 http://leenissen.dk/fann/html/files /fann_data-h.html#fann_activationfunc_enum，输出应在 <-1, 1> 之间
你必须扩展你的输出；）
According to Reference Manual http://leenissen.dk/fann/html/files/fann_data-h.html#fann_activationfunc_enum, outputs should be between <-1, 1>
You must scale your outputs ;)