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我目前正試圖讓我的ANN實現工作（使用FANN庫），但不知何故，我總是得到非常不可預知的結果。我正在訓練這樣的培訓文件運行時使用ANN庫（使用FANN）的未預知結果
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0 0 1
// .. the file continues up to 132 rows
我的網絡這只是（對於一個期望輸出44）乞討和訓練數據的數量可能不夠大，但在這個特殊的訓練數據，我只有3輸出區分我應該罰款這個..但不。
這是我的ANN實現
const unsigned int num_input = 600;
const unsigned int num_output = 3;
const unsigned int num_layers = 3;
const unsigned int num_neurons_hidden = 36;
const float desired_error = (const float) 0.0001;
const unsigned int max_epochs = 500000;
const unsigned int epochs_between_reports = 250;
struct fann *ann = fann_create_standard(num_layers, num_input, num_neurons_hidden, num_output);
fann_set_activation_function_hidden(ann, FANN_SIGMOID_SYMMETRIC);
fann_set_activation_function_output(ann, FANN_SIGMOID_SYMMETRIC);
fann_train_on_file(ann, "traindata.data", max_epochs, epochs_between_reports, desired_error);
訓練結束後（與我想需要有足夠的錯誤）我喂上網絡已經被訓練和驚喜的樣品，驚喜......我有這樣的事情
-0.984213
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-0.890114
-0.992615
-0.922377
-0.908642
0.383230