Name: Application of Deep Learning in Spectral Analysis (en Inglés)
Price: 371426.00 COP
Availability: InStock
Author: Hui Jiang; Quansheng Chen
ISBN: 9786208223816

portada Application of Deep Learning in Spectral Analysis (en Inglés)

Application of Deep Learning in Spectral Analysis (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Hui Jiang; Quansheng Chen

Idioma

Inglés

N° páginas

284

Encuadernación

Tapa Blanda

ISBN13

9786208223816

Application of Deep Learning in Spectral Analysis (en Inglés)

Hui Jiang; Quansheng Chen (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Application of Deep Learning in Spectral Analysis (en Inglés)"

The deep learning approach combined with spectroscopic sensing techniques has shown great potential for quality evaluation of food and agro-products. Current advances in deep learning-based qualitative analysis include variety identification, geographical origin detection, adulteration recognition, and bruise detection, whereas quantitative analysis includes multiple component content prediction for fruits, grains, and crops. The main advantage of deep learning approach is the decreasing the dependence on human domain knowledge by end-to-end analysis and the improved precision and generalizability. This book discusses the current challenges of conventional chemometric methods and the emerging deep learning approach for spectral analysis. The research on exploring the learning mechanism of the 'black box' deep learning model is discussed. This book focuses on the application of deep learning approaches on quality evaluation of food and agro-products, lessons from current studies, and future perspectives.