Reset filters

Search publications


Search by keyword
List by department / centre / faculty

No publications found.

 

Towards a better understanding of deep convolutional neural network processes for recognizing organic chemicals of environmental concern

Author(s): Sun X; Zhang X; Wang L; Li Y; Muir DCG; Zeng EY;

Deep convolutional neural network (DCNN) has proved to be a promising tool for identifying organic chemicals of environmental concern. However, the uncertainty associated with DCNN predictions remains to be quantified. The training process contains many random configurations, including dataset segmentation, input sequences, and initial weight, etc. Moreov ...

Article GUID: 34388923


-   Page 1 / 1   -