Remove Bias from neural net
7 ビュー (過去 30 日間)
古いコメントを表示
Andriy Artemyev
2021 年 5 月 20 日
コメント済み: Andriy Artemyev
2021 年 5 月 24 日
Greetings, I have a neural network that is forecasting financial data. In some cases, my 3 input features are going to be full of zeros. In those cases, my network will give me a nonzero output, even if all the inputs are zero. This is very problematic for my particular problem. I think this is due to the biases in the network. Is there a way to train a networks weights, but force the biases to zero? I also fitted a linear regression model, where I could simply remove the intercept to solve this problem.
I unfortunately could not find information on this topic and hope that someone can help me out!
Thanks in advance,
Andy
0 件のコメント
採用された回答
Srivardhan Gadila
2021 年 5 月 22 日
You can remove the bias by setting the value of net.biasConnect of all the layers of the neural network to zero. Refer to the documentation of net.biasConnect for more information. If you want to access the bias value of the neural network refer to the documentation of net.b.
その他の回答 (0 件)
参考
カテゴリ
Help Center および File Exchange で Sequence and Numeric Feature Data Workflows についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!