清空筛选条件
清空筛选条件

Is there a maximum limit to the number of features given as input to a PNN? And how to find the optimum spread value?

1 次查看（过去 30 天）
SSG_newbiecoder
SSG_newbiecoder 2018-4-24
评论： SSG_newbiecoder 2018-4-24
Hello, I am trying to classify ECG arrhythmia conditions using the PNN . Right now I'm considering 5 classes. I have 52 features in the feature matrix. What is the maximum number of features I can give to the PNN? IS there any limit like that? Also how to select the spread value for the PNN? I havent tried implementing any neuralnetworks till now. This is my first attempt. Please forgive if my query is silly.

请先登录，再回答此问题。

采纳的回答

Walter Roberson
Walter Roberson 2018-4-24
The practical limit on number of features is determined by memory. The theoretical limit... Ummm, if you are training on gpu then it might be 2^14 = 16384 in some cases, as matrix that large on each side would be 2^28 elements and at 4 bytes each that would be 2^32 bytes (2 gigabytes) which might be the address limit on some older gpu.
  3 个评论
显示 1更早的评论
Walter Roberson
Walter Roberson 2018-4-24
No. I said 2^14 which is 16384. 52 is not much. You could potentially run out of memory if you had tens of thousands of images with 52 features, perhaps.

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 GPU Computing 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by