extreme learning machine (elm) algorithms Search Results


convolutional neural network–gravitational reservoir-computing–extreme learning machine (cnn-grc-elm)  (SAS institute)
90
SAS institute convolutional neural network–gravitational reservoir-computing–extreme learning machine (cnn-grc-elm)
Summary of deep architectures used in NIR.
Convolutional Neural Network–Gravitational Reservoir Computing–Extreme Learning Machine (Cnn Grc Elm), supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/convolutional neural network–gravitational reservoir-computing–extreme learning machine (cnn-grc-elm)/product/SAS institute
Average 90 stars, based on 1 article reviews
convolutional neural network–gravitational reservoir-computing–extreme learning machine (cnn-grc-elm) - by Bioz Stars, 2026-05
90/100 stars
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extreme learning machine (w-elm)  (Informa UK Limited)
90
Informa UK Limited extreme learning machine (w-elm)
Summary of deep architectures used in NIR.
Extreme Learning Machine (W Elm), supplied by Informa UK Limited, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/extreme learning machine (w-elm)/product/Informa UK Limited
Average 90 stars, based on 1 article reviews
extreme learning machine (w-elm) - by Bioz Stars, 2026-05
90/100 stars
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Image Search Results


Summary of deep architectures used in NIR.

Journal: Sensors (Basel, Switzerland)

Article Title: A Review of Machine Learning for Near-Infrared Spectroscopy

doi: 10.3390/s22249764

Figure Lengend Snippet: Summary of deep architectures used in NIR.

Article Snippet: Jun. 2021, [ ] , Salt content in saline-alkali soil (SAS) , Convolutional neural network–gravitational reservoir-computing–extreme learning machine (CNN-GRC-ELM). , A fast, low-cost, and accurate method. , Does not compare to other state-of-the art deep learning models; the experimental sample data were insufficient..

Techniques: Cream, Extraction, Biomarker Discovery, Selection, Saline, Transformation Assay