Results 201 to 210 of about 25,590 (247)

A method combining ELM and PLSR (ELM-P) for estimating chlorophyll content in rice with feature bands extracted by an improved ant colony optimization algorithm

Computers and Electronics in Agriculture, 2021
Using spectral information to detect chlorophyll content in rice canopy leaves quickly, non-destructively and accurately has a great practical significance for rice growth evaluation, precise fertilization and scientific management.
Tan Liu, Tongyu Xu, Fenghua Yu, Qingyun Yuan, Zhonghui Guo, Bo Xu   +5 more
semanticscholar   +1 more source

A comparative study between PCR, PLSR, and LW-PLS on the predictive performance at different data splitting ratios

Chemical Engineering Communications, 2021
Principal component regression (PCR), partial least squares regression (PLSR), and locally weighted partial least squares (LW-PLS) models are supervised learning methods in which a labeled dataset is used to train the model.
Teck Fu Thien, Wan sieng Yeo
semanticscholar   +1 more source

Noninvasive blood glucose sensing by near-infrared spectroscopy based on PLSR combines SAE deep neural network approach

, 2021
Near-infrared spectroscopy has been considered as one of the most effective methods for noninvasive blood glucose sensing. Due to the strong scattering of human tissues and the differences among individuals, the relationship between spectral data and ...
Guang Han, Siqi Chen, Xiao-yuan Wang, Jinhai Wang, Huiquan Wang, Zhe Zhao   +5 more
semanticscholar   +1 more source

Research of DBN PLSR algorithm Based on Sparse Constraint

2021 3rd International Conference on Pattern Recognition and Intelligent Systems, 2021
DBN is a generative model based on unsupervised learning, with strong computing and information processing capabilities. But at the same time, there are some drawbacks: the model is constructed through intensive expression, which leads to relatively low computing performance of the network.
Mengxi Liu, Yingliang Li
openaire   +1 more source

Assessment of soil erosion, sediment yield and basin specific controlling factors using RUSLE-SDR and PLSR approach in Konar river basin, India

, 2020
The study comprehensively assessed the effects of river basin parameters (basin morphology, drainage network, topography, climate, land use land cover (LULC) composition & pattern, and soil properties) on soil erosion (SE) and specific sediment yield ...
J. Rajbanshi, S. Bhattacharya
semanticscholar   +1 more source

Multivariate image regression (MIR): implementation of image PLSR?first forays

Journal of Chemometrics, 2000
In large and important sectors of modern production, there is an increased demand for on-line or at-line information. Both consumers and governmental regulations require that producers can document the quality of their products. The more precise measurements can be, the more potentially valuable they are for the producers in their endeavours to fulfil ...
Lied, T. T., Geladi, P., Esbensen, Kim Harry   +2 more
openaire   +2 more sources

Determination of tetracycline hydrochloride by terahertz spectroscopy with PLSR model

Food Chemistry, 2015
Antibiotic residues in agricultural and food products are of great concern to legislatures and consumers. Reliable techniques for rapid and sensitive detection of these residues are necessary to ensure food safety. In this study, tetracycline hydrochloride (TC-HCl) in powder and solution form was detected and quantified using terahertz (THz ...
Jianyuan, Qin, Lijuan, Xie, Yibin, Ying
openaire   +2 more sources

Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset.

New Phytologist
Leaf traits are essential for understanding many physiological and ecological processes. Partial least squares regression (PLSR) models with leaf spectroscopy are widely applied for trait estimation, but their transferability across space, time, and ...
Fujiang Ji, Fa Li, Dalei Hao, A. Shiklomanov, Xi Yang, P. Townsend, Hamid Dashti, Tatsuro Nakaji, Kyle R. Kovach, Haoran Liu, Meng Luo, Min Chen   +11 more
semanticscholar   +1 more source

A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement

ISA Transactions, 2015
In this paper, a robust hybrid model integrating an enhanced inputs based extreme learning machine with the partial least square regression (PLSR-EIELM) was proposed. The proposed PLSR-EIELM model can overcome two main flaws in the extreme learning machine (ELM), i.e. the intractable problem in determining the optimal number of the hidden layer neurons
Yan-Lin, He, Zhi-Qiang, Geng, Yuan, Xu, Qun-Xiong, Zhu   +3 more
openaire   +2 more sources

Portable Raman spectroscopy coupled with PLSR analysis for monitoring and predicting of the quality of fresh-cut Chinese yam at different storage temperatures.

Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy
Portable Raman spectroscopy coupled with partial least squares regression (PLSR) model was performed for monitoring and predicting four quality indicators, moisture content, water activity, polysaccharide content and microbial content of the fresh-cut ...
Youqing Wen, Zhiyao Li, Ying Ning, Yueling Yan, Zheng Li, Na Wang, Haixia Wang   +6 more
semanticscholar   +1 more source