The Journal of Light Scattering, Volume. 36, Issue 4, 392(2024)
Research on the synthesis of hydrotalcite and RBF neural network prediction for simulating near-infrared water peaks in jungle camouflage
[1] [1] Zhang C Y, Cheng H F, Chen Z H, et al. Detecting Low Reflectivity Camouflage Net by Using Polarization Remote Sensing[J]. Journal of infrared and millimeter waves, 2009, 28(2): 137-140.
[2] [2] Lu Q, Li M, Tian A, et al. Green Plant Leaf-inspired Smart Camouflage Fabrics for Visible Light and Near-infrared Stealth[J]. Journal of Bionic Engineering, 2022, 19(3): 788-798.
[3] [3] Zhao D, Liu S, Yang X, et al. Research on Camouflage Recognition in Simulated Operational Environment Based on Hyperspectral Imaging Technology[J]. Journal of Spectroscopy, 2021.
[4] [4] Hu Y B, Bao N S, Liu S J, et al. Research on Hyperspectral Features and Recognition Methods of Typical Camouflage Materials[J]. Spectroscopy and Spectral Analysis, 2023, 43(1): 297-302
[5] [5] Soontaree I, Makoto O. Simple and cost-effective mass production of nitrate type Mg Al layered double hydroxide: Titration from concentrated solution[J]. Applied Clay Science, 2022, 228: 106615.
[6] [6] Anjum J M, Zhao J, Asl Z V, et al. Green corrosion inhibitors intercalated Mg: Al layered double hydroxide coatings to protect Mg alloy[J]. Rare Metals, 2020, 40(8): 2254-2265.
[7] [7] Leao A D, da Silva L A, de Oliveira Silva Ribeiro F, et al. Influence of nonmodified layered double hydroxide (LDH) metal constituents in PMMA/LDH nanocomposites[J]. Journal of Inorganic and Organometallic Polymers and Materials, 2021, 31(2): 836-850.
[8] [8] Chatterjee. A, Bharadiya. P, Hansora. D, et al. Layered double hydroxide based bionanocomposites[J]. Applied Clay Science, 2019, 177: 19-36.
[9] [9] Jamil. S, Alvi. AR, Khan. SR, et al. Layered Double Hydroxides (LDHs): Synthesis & Applications[J]. Progress In Chemistry, 2019, 31(2-3): 394-412.
[10] [10] Jia. L, Ma. JZ, Gao. DG, et al. Layered Double Hydroxides/Polymer Nanocomposites[J]. Progress In Chemistry, 2018, 30(2-3): 295-303.
[11] [11] Li S, Shi Y, Zhai Y, et al. Friction fault diagnosis and fault tolerant control for electronic throttles with sliding mode and adaptive RBF estimator[J]. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2021, 235(9): 1605-1614.
[12] [12] Babu G S, Suresh S. A Sequential Projection Based Meta-cognitive Learning in RBF Network for Classification Problems[J]. Neural Networks and Learning Systems, IEEE Transactions on, 2013, 24(2): 194-206.
[13] [13] Wang J, Zhuang H. Multi RBF-kernel Support Vector Regression for Clinical Cognitive Scores Prediction in Schizophrenia[C]. International Conference on Digital Image Processing. SPIE, 2020.
[14] [14] Ibrahim AIA, Vohra MS. Mg-Fe-LDH for Aquatic Selenium Treatment: Adsorption, RSM Modeling, and Machine Learning Neural Network[J]. Water Air And Soil Pollution, 2023, 234(7): 433.
[15] [15] Hadnadjev-Kostic M, Vulic T, Lukic N, et al. Photocatalytic Performance of TiO2-ZnAl LDH Based Materials: Kinetics and Neural Networks Approach[J] Polish Journal Of Environmental Studies, 2022, 31(5): 4117-4125.
[16] [16] Samandari M, Taghvamanesh A, Hosseini SA, et al. Magnetic MgAl-LDH: a green nanocatalyst for wet peroxide oxidation of phenol: experimental study and process modeling by response surface methodology and artificial neural network[J] Desalination And Water Treatment, 2021, 228: 217-228.
[17] [17] Mu'azu N. D. Insight into ANN and RSM Models' Predictive Performance for Mechanistic Aspects of Cr (VI) Uptake by Layered Double Hydroxide Nanocomposites from Water[J]. Water, 2022, 14(10): 27.
[18] [18] Zhang J, Mouazen AM. Fractional-order Savitzky-Golay filter for pre-treatment of on-line vis-NIR spectra to predict phosphorus in soil[J]. Infrared Physics & Technology, 2023, 131: 104720.
[19] [19] Delwiche SR, Reeves JB. A Graphical Method to Evaluate Spectral Preprocessing in Multivariate Regression Calibrations: Example with Savitzky-Golay Filters and Partial Least Squares Regression[J]. Applied Spectroscopy, 2010, 64(1): 73-82.
[20] [20] Zhou H, Huang S, Zhang P, et al. Prediction of jacking force using PSO-BPNN and PSO-SVR algorithm in curved pipe roof[J]. Tunnelling and Underground Space Technology incorporating Trenchless Technology Research, 2023, 138: 105159.
[21] [21] Jamali S, Eftekhari A. PSO-Vegas: PSO-based enhanced Vegas[J]. Przeglad Elektrotechniczny, 2011, 87(1): 199-203.
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QIU Chengcong, FAN Xinyu, PAN Guoxiang, XU bo, XU minhong, LI jinhua. Research on the synthesis of hydrotalcite and RBF neural network prediction for simulating near-infrared water peaks in jungle camouflage[J]. The Journal of Light Scattering, 2024, 36(4): 392
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Received: Feb. 29, 2024
Accepted: Jan. 21, 2025
Published Online: Jan. 21, 2025
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