利用Nir谱数据预测纤维质量:基于树的集成学习VS深度神经网络

IF 0.8 4区 工程技术 Q3 FORESTRY Wood and Fiber Science Pub Date : 2023-07-23 DOI:10.22382/wfs-2023-10
V. Nasir, Syed Danish Ali, Ahmad Mohammadpanah, Sameen Raut, M. Nabavi, J. Dahlen, L. Schimleck
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Fiber Quality Prediction Using Nir Spectral Data: Tree-Based Ensemble Learning VS Deep Neural Networks
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来源期刊
Wood and Fiber Science
Wood and Fiber Science 工程技术-材料科学:纺织
CiteScore
7.50
自引率
0.00%
发文量
23
审稿时长
>12 weeks
期刊介绍: W&FS SCIENTIFIC ARTICLES INCLUDE THESE TOPIC AREAS: -Wood and Lignocellulosic Materials- Biomaterials- Timber Structures and Engineering- Biology- Nano-technology- Natural Fiber Composites- Timber Treatment and Harvesting- Botany- Mycology- Adhesives and Bioresins- Business Management and Marketing- Operations Research. SWST members have access to all full-text electronic versions of current and past Wood and Fiber Science issues.
期刊最新文献
IDENTIFICATION AND RECOGNIZATION OF BAMBOO BASED ON CROSS-SECTIONAL IMAGES USING COMPUTER VISION Fiber Quality Prediction Using Nir Spectral Data: Tree-Based Ensemble Learning VS Deep Neural Networks PRESERVATIVE TREATMENT OF TASMANIAN PLANTATION EUCALYPTUS NITENS USING SUPERCRITICAL FLUIDS Use of a Portable Near Infrared Spectrometer for Wood Identification of Four Dalbergia Species from Madagascar THE GLOBAL WOOD SPECIES PRIORITY LIST: A LIVING DATABASE OF TREE SPECIES MOST AT RISK FOR ILLEGAL LOGGING, UNSUSTAINABLE DEFORESTATION, AND HIGH RATES OF TRADE GLOBALLY
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