Dimensionality Reduction with Input Training Neural Network and Its Application in Chemical Process Modelling

By 朱群雄, 李澄非. 2006

18 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Peter R. Florence
2. Steven J. Lovegrove
3. Julian Straub
4. J. Park
5. Richard A. Newcombe
6. Andrew J. Davison
7. Michael Niemeyer
8. Vincent Sitzmann

Citations in the corpus

• DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation (2019, background): “Similar approaches have been extensively studied in [42, 8, 40], for applications including noise reduction, missing measurement completions, and fault detections.”