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Application of Parameter Inversion in Tunnel Stability Analysis
2022
Journal of Research in Science and Engineering
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The results show that the numerical simulation based on the inversion data is highly consistent with the actual deformation, which proves the practicability of the inversion method of the physical and ...
However, in some cases, it is difficult to directly measure the physical and mechanical parameters of the formation. ...
The principle is to use particle swarm algorithm and simulated annealing algorithm to optimize the weight and threshold of BP neural network algorithm in advance., then the BP neural network algorithm ...
doi:10.53469/jrse.2022.04(09).11
fatcat:53k7x7sxsnh6vh7azsdxonis6a
Classification and Prediction of Bee Honey Indirect Adulteration Using Physiochemical Properties Coupled with K-Means Clustering and Simulated Annealing-Artificial Neural Networks (SA-ANNs)
2021
Journal of Food Quality
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To further predict the percent honey adulteration, simulated annealing coupled with artificial neural networks (SA-ANNs) was used with sugar profile as an input. ...
The classification results showed that both glucose content and total sugar content provided 100% accurate classification while pH values provided the worst results with 52% classification accuracy. ...
Simulated Annealing-Artificial Neural Network (SA- One difficulty arises in developing ANNs which involves the determination of initial weights used in the network topology. erefore, a simulated annealing ...
doi:10.1155/2021/6634598
fatcat:sh2k755nwbbibdvab4qkbq4voa
Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature Variable Selection Algorithms in Southern Xinjiang, China
2022
Remote Sensing
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neural network (BPNN) and a convolutional neural network (CNN) were used to construct the estimation models of SOM. ...
algorithm (PSO), ant colony algorithm (ACO) and simulated annealing (SA) algorithm—were used to filter the spectral feature bands of SOM, and then partial least squares regression (PLSR), a back propagation ...
neural network (CNN)-to establish the inversion model for SOM based on Vis-NIR in situ spectra. ...
doi:10.3390/rs14205221
fatcat:ahlbmqhbjbdljheyeh23mpjyjm
Artificial Neural Network and its Application Research Progress in Distillation
[article]
2021
arXiv
pre-print
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Among them, with the development of rectification technology, its production scale continues to expand, and its calculation requirements are also more stringent, because the artificial neural network has ...
This article gives a basic overview of artificial neural networks, and introduces the application research of artificial neural networks in distillation at home and abroad. ...
The research used BP algorithm and simulated annealing algorithm to train the artificial neural network, and the input parameters are the water-to-ester ratio of the feed, the reflux feed ratio, and the ...
arXiv:2110.01449v1
fatcat:jgw2lsabifgw3m2rcb3mq4txte
A Machine Learning-Based Fast-Forward Solver for Ground Penetrating Radar With Application to Full-Waveform Inversion
2019
IEEE Transactions on Geoscience and Remote Sensing
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However, general full-wave 3D electromagnetic (EM) solvers, such as ones based on the Finite-Difference Time-Domain (FDTD) method, are still computationally demanding for simulating realistic GPR problems ...
We have developed a novel near realtime, forward modeling approach for GPR that is based on a machine learning (ML) architecture. ...
Fig. 11 . 11 FWI results for real measurements over four rebars with different radii and depths. The recovered water content of the concrete is approximately 11.5 %.
and A. ...
doi:10.1109/tgrs.2019.2891206
fatcat:7h4bzban2be6zcgmb3qkbpqsfi
Adaptive Prediction of Water Droplet Infiltration Effectiveness of Sprinkler Irrigation Using Regularized Sparse Autoencoder–Adaptive Network-Based Fuzzy Inference System (RSAE–ANFIS)
2021
Water
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As the high productive efficiency of sprinkler irrigation is largely based on balanced soil moisture distribution, it is essential to study the exact effectiveness of water droplet infiltration, which ...
This research carried out adaptive prediction of the droplet infiltration effectiveness of sprinkler irrigation by using a novel approach of a regularized sparse autoencoder–adaptive network-based fuzzy ...
annealing-genetic algorithm, Taguchi estimation, artificial neural network-simulated annealing prediction, and the genetically optimized neural network, etc. ...
doi:10.3390/w13060791
fatcat:tjjgitswtfeq5fpra737fdw3be
Silk nanofiber hydrogels with tunable modulus to regulate nerve stem cell fate
2014
Journal of materials chemistry. B
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Silk nanofiber hydrogels with tunable modulus were prepared to facilitate neuron differentiation and inhibit glial differentiation without growth factors. ...
The methanol-annealed hydrogels were kept in distilled water to replace methanol with water until further experiments. 47 After dialysis, the content of methanol in silk hydrogels measured with ICO-OES ...
Therefore methanol/water annealing processes with different methanol ratios were used to further tune the secondary structures of the hydrogels. ...
doi:10.1039/c4tb00878b
pmid:25530851
pmcid:PMC4269376
fatcat:azsugmzgency5forih2pejr324
Determination of the Most Effective Wavelengths for Prediction of Fuji Apple Starch and Total Soluble Solids Properties
2020
Applied Sciences
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Reflectance spectra were pre-processed and the most effective wavelengths of each property were selected using hybrid artificial neural network-simulated annealing (ANN-SA). ...
Non-destructive estimation of physicochemical properties was conducted using spectral data of the most effective wavelengths using a hybrid artificial neural network-biogeography-based optimization algorithm ...
The most effective wavelengths selected by hybrid artificial neural network-simulated annealing algorithm to estimate TSS correspond to the wavelengths around the peak of 950 nm. ...
doi:10.3390/app10228145
fatcat:6ki6lmesybgshp7gydoarnl23a
Artificial Neural Network Modelling for Asphalt Concrete Samples with Boron Waste Modification
2021
Maǧallaẗ al-abḥāṯ al-handasiyyaẗ
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Finally, a simulation was prepared with the created model and the effect of boron wastes on asphalt samples were examined in more detail. ...
Besides, an artificial neural network (ANN) model was created for the evaluation of obtained data. ...
steps
Figure 13 .Figure 14 . 1314 Simulated surface maps related to Stability depend on bitumen content and CBW content Simulated surface maps related to Marshall Quotient depend on bitumen content ...
doi:10.36909/jer.8124
fatcat:x7f25j5h6fhjhfqoj4iy2sgmxe
Optimization of Heat Treatment Conditions of Magnesium Cast Alloys
2010
Materials Science Forum
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The heat treatment involve the solution heat treatment and cooling in different cooling mediums as well water, air and furnace. ...
A casting cycle of alloys has been carried out in an induction crucible furnace using a protective salt bath Flux 12 equipped with two ceramic filters at the melting temperature of 750±10°C, suitable for ...
Neural network model The data set has been obtained from the examinations of the hardness of magnesium cast alloys after solution heat treatment (water, air) and annealing in 400, 415 and 430 ºC temperatures ...
doi:10.4028/www.scientific.net/msf.638-642.1488
fatcat:lfmpavw5gvevjahnbkoehdkpae
A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction
2023
Sensors
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local optimization process" based on the traditional simulated annealing algorithm and proposes the "two-step simulated annealing algorithm (TSSA)". ...
To address the shortcomings in many traditional spectral feature extraction algorithms in practical application of low modeling accuracy and poor stability, this paper introduces the "Boruta algorithm-based ...
To address the above problems, this paper introduces the "Boruta algorithm-based local optimization process" based on the traditional simulated annealing algorithm. ...
doi:10.3390/s23020893
pmid:36679691
pmcid:PMC9865617
fatcat:mkbjvyd3wzhytllt3m2x7v4hnu
Application of Neural Network Algorithm in Propylene Distillation
2021
Journal of Engineering Research and Reports
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The functional relationship can be accurately controlled by artificial neural network algorithms. ...
This article mainly introduces the development process of neural network model and its application progress in propylene distillation tower. ...
The conversion rate of the product and the acid-water ratio in the tower kettle are the two nodes of the output layer. He used BP algorithm combined with simulated annealing algorithm. ...
doi:10.9734/jerr/2021/v20i1217420
fatcat:5strbzyqcjgzbpxqe3w3zbw2qm
2020 Index IEEE Transactions on Semiconductor Manufacturing Vol. 33
2020
IEEE transactions on semiconductor manufacturing
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Light-Weight Neural Network for Wafer Map Classification Based on Data Augmentation. ...
., TSM Nov. 2020 532-533
Impact of Water Content in NMP on Ohmic Contacts in GaN HEMT Tech-
nologies. ...
doi:10.1109/tsm.2020.3036306
fatcat:mb4mmpjd4vbzfep47oxhm3soca
Short range SW monsoon rainfall forecasting over India using neural networks
2022
Mausam
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Feedforward Neural Networks are used for daily precipitation forecast using several test stations all over India. ...
Neural networks are used to develop a concurrent relationship between precipitation and other atmospheric variables. ...
The neural network simulations will be performed by using the same predictors that are being used at NCMRWF for the forecast based on linear regression analysis. ...
doi:10.54302/mausam.v53i2.1637
fatcat:xdgod4z2r5farftoa3wukc2evq
Catalytic Thermal Degradation of Chlorella Vulgaris: Evolving Deep Neural Networks for Optimization
2019
Bioresource Technology
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In addition, Simulated Annealing is proposed to determine the optimal operating conditions for microalgae conversion from multiple trained ANN. ...
. ➢ Novel PDSE neuro-evolution algorithm was proposed for neural architecture search. ➢ Neuro-evolution achieved RMSE of 0.005-0.007, considered state-of-art for TGA studies. ...
Optimized results using Simulated Annealing method The bi-level optimization by Simulated Annealing to find an optimum thermal condition for the conversion of C. vulgaris took 27 minutes on a machine with ...
doi:10.1016/j.biortech.2019.121971
fatcat:435e6ao625gsvm3i75g522hzom
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