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1. Dez. 2023 · Here, we studied the deep reduction-hydrogen production characteristics. Specifically, the effects of temperature, papermaking sludge (PMS) blended ratio, and reaction time on the deep reduction characteristics of Fe in pickling sludge and presintered waste were studied.
1. März 2024 · This study introduces a novel approach called deep mechanism reduction (DeePMR). DeePMR focuses on constructing a mapping function between reduced mechanisms and their overall performance using deep neural networks, so that DeePMR can gradually eliminate species and associated reactions while ensuring accurate functional preservation ...
Viele übersetzte Beispielsätze mit "deep reduction" – Deutsch-Englisch Wörterbuch und Suchmaschine für Millionen von Deutsch-Übersetzungen.
Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension.
11. März 2019 · What is Dimensionality Reduction? Dimensionality reduction is simply, the process of reducing the dimension of your feature set. Your feature set could be a dataset with a hundred columns (i.e features) or it could be an array of points that make up a large sphere in the three-dimensional space.
- Judy T Raj
1. Juli 2023 · This study demonstrates that the deep reduction is a green and effective technology for copper smelting slag utilization. Download : Download high-res image (229KB) Download : Download full-size image. 1. Introduction.
2. Feb. 2023 · Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and manifold learning.
