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Artificial Neural Networks (ANN)
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This study seeks to introduce a more comprehensive assessment method than previous endeavors, particularly concerning the bond strength of FRP bars with various surface types within concrete, spanning normal, high-strength, and ultra-high-strength concrete.
16p
vithomson
02-07-2024
0
0
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Recently, researches have been used Artificial Neural Network (ANN) to predict the early-age thermal cracking of rectangle piers. But ANN has not resulted for different types of concrete piers. This article presents an evaluation of the early-age thermal characteristics of mass concrete piers with four distinct cross-sectional shapes.
11p
viwalton
02-07-2024
1
1
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In this study, a surrogate model based on artificial neural networks (ANN) will be established to predict the mechanical behaviors of the plastic Primitive TPMS reinforced beams. Finite element analysis (FEA) simulation results of different numbers of reinforcement layers and volume fractions were adopted as the model data, the robust model have been owing to a hyperparameter tuning investigation.
10p
dathienlang1012
03-05-2024
5
0
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Bài viết này trình bày một phương pháp đánh giá xác suất tin cậy của kết cấu bằng cách sử dụng kết hợp mạng Nơ-ron nhân tạo (Artificial Neural Network - ANN) và MCS, sau đó áp dụng phương pháp này để đánh giá độ tin cậy của cột thép tiết diện chữ I thay đổi với các tham số đầu vào ngẫu nhiên.
13p
vicarlos
16-05-2024
0
0
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The appropriate number of neurons in the hidden layer was determined by feature testing of the fit of the weights, and the threshold of the synapse was perfected by testing the features during training.
11p
viellison
06-05-2024
3
1
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The purpose of this article is to analyze the performance of companies in the slaughterhouse industry in health and safety issues. The research method is quantitative modeling. The main research technique uses a mixed method based on multi-attribute utility method (MAUT) and artificial neural networks (ANN). The research object is 34 slaughterhouse companies located in Southern Brazil. Then, we ranked the companies and modeled their decision trees using the MAUT method.
9p
longtimenosee10
26-04-2024
2
1
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This paper is aimed at quickly predicting the dynamic behavior of functionally graded plates using nontraditional computational approaches consisting of artificial neural networks (ANN) and extreme gradient boosting (XGBoost).
11p
viohoyo
25-04-2024
4
2
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Bài viết trình bày tóm tắt kết quả Ứng dụng công nghệ GIS, Viễn thám và mô hình phân cấp thứ bậc (AHP) kết hợp mô hình Cellular Automata - Artificial Neural Network (CA-ANN). Nghiên cứu này ứng dụng dữ liệu ảnh viễn thám sentinel 2A năm 2017, 2019 và 2023 để thành lập bản đồ dự báo lớp phủ mặt đất huyện Vĩnh Cửu, tỉnh Đồng Nai năm 2030.
11p
vilarry
01-04-2024
5
2
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This article presents the results of improving an artificial neural network (ANN) to predict the tool wear in high-speed dry turning of SKD11 steel. The original ANN was a backpropagation (BPN) model with the Gradient Descent algorithm (GD). In the improved model, so-called ANN-CS, some parameters were optimized by the Cuckoo search algorithm (CS).
15p
vibego
02-02-2024
2
1
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This study was conducted to build an early forecast model for the dengue epidemic using an artificial neural network (ANN) in Vung Tau City in Ba Ria - Vung Tau Province. Weather factors (temperature, precipitation, humidity, wind speed) were all correlated with the number of dengue cases (p
9p
vikissinger
21-12-2023
1
1
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Bilateral breast cancer (BBC), as well as ovarian cancer, are significantly associated with germline deleterious variants in BRCA1/2, while BRCA1/2 germline deleterious variants carriers can exquisitely benefit from poly (ADP-ribose) polymerase (PARP) inhibitors. However, formal genetic testing could not be carried out for all patients due to extensive use of healthcare resources, which in turn results in high medical costs.
11p
vileonardodavinci
23-12-2023
11
4
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In this article, an Artificial Neural Network (ANN)-based model for daily global solar radiation prediction is proposed. This model is trained with a backpropagation algorithm and make prediction using meteorological variables as inputs.
6p
vijeff
01-12-2023
4
3
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"Artificial neural networks in real life applications" offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability.
395p
haojiubujain08
01-11-2023
6
3
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Continued part 1, part 2 of ebook "Sustainable construction and building materials: Select proceedings of ICSCBM 2018" provides readers with contents including: rice husk ash (RHA) - the future of concrete; effect of nano-silica and GGBS on the strength properties of fly ash-based geopolymers; compressive strength prediction of high-strength concrete using regression and ANN models; prediction of compressive strength of high-volume fly ash concrete using artificial neural network;...
446p
dangsovu
20-10-2023
8
5
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This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. The accuracy of the models was assessed using numerous performance indexes such as the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and coefficient of determination (R2).
10p
visharma
20-10-2023
3
3
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In this study, an artificial neural network-based Bayesian regularization (ANN) model is proposed to predict the compressive strength of concrete. The database in this study includes 208 experimental results synthesized from laboratory experiments with 9 input variables related to temperature change and design material composition.
13p
visharma
20-10-2023
5
4
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This paper presents the results of applying the Artificial Neural Network (ANN) model in determining pile bearing capacity. The traditional methods used to calculate the bearing capacity of piles still have many disadvantages that need to be overcome such as high cost, complicated calculation, time-consuming.
8p
visharma
20-10-2023
5
4
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In the present study, two chemometric techniques, Artificial Neural Network (ANN) and Partial Least Square-Discrimination Analysis (PLSDA) have been assessed for their efficiencies for classification. Here, UV spectroscopic data are used as input.
6p
viisac
23-09-2023
4
1
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This study aims to compare and contrast the performance of Artificial neural network (ANN) and Decision Tree (DT) methods in predicting the compressive strength and slump values of concrete samples. Experimental data used for model building and comparison were obtained from a previous research project.
9p
vifriedrich
30-08-2023
5
3
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Using a data-driven approach to study and predict the shear strength of slender steel fiber reinforced concrete beams has great applicability for the design and construction process. Based on the data-driven approach, an Artificial Neural Network (ANN) model with some hyperparameters optimized by Particle Swarm Optimization (PSO) algorithm is successfully built.
12p
viberkshire
09-08-2023
8
4
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