Artificial neural networks

In this paper, author uses 8-bit fixed-point quantization to greatly reduce the memory space requirement of the feature maps and weights and the accuracy of LeNet-5 with MNIST dataset is only slightly reduced. In the hardware accelerator, author proposes a highly flexible CNN accelerator with reconfigurable layers.

14p viling 11-10-2024 3 1   Download

This paper introduces the application of artificial intelligence to build a security control software system in local military units. This software system uses state-of-the-art convolutional neural networks (CNN SOTA) for facial recognition by testing two of the best facial recognition models currently available: the FaceNet model and the VGGFace model.

8p vifilm 11-10-2024 6 1   Download

In this study, we propose the application of CycleGAN to generate T2 pulse sequence MRI images of the human brain from T2 Flair pulse sequence images of the same type and vice versa, thereby increasing the number of MRI images of various types.

8p viengfa 28-10-2024 5 2   Download

Accurate forecasting of the electrical load is a critical element for grid operators to make well-informed decisions concerning electricity generation, transmission, and distribution. In this study, an Extreme Learning Machine (ELM) model was proposed and compared with four other machine learning models including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU).

10p viengfa 28-10-2024 2 1   Download

Artificial neural networks, which are an essential tool in Machine Learning, are used to solve many types of problems in different fields. This article will introduce an application of the artificial neural network model in the diagnosis of heart disease based on the heart.csv data file.

6p viengfa 28-10-2024 4 2   Download

The main objective of this study is to predict accurately the loaddeflection of composite concrete bridges using two popular machine learning (ML) models namely Random Tree (RT) and Artificial Neural Network (ANN). Data from 83 track loading tests conducted on various bridges in Vietnam were collected and analyzed.

9p viengfa 28-10-2024 3 2   Download

The results of this study would be useful in quickly and accurately predicting CPI to the management agencies, investors, construction contractors to pre-plan the construction investment costs. This will also help in suitably adjusting changing construction cost with time.

11p viengfa 28-10-2024 2 2   Download

In this study, we propose a machine learning technique for estimating the shear strength of CRC beams across a range of service periods. To do this, we gathered 158 CRC beam shear tests and used Artificial Neural Network (ANN) to create a forecast model for the considered output.

12p viengfa 28-10-2024 3 2   Download

This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. This study applied the repeated KFold cross-validation technique with 10 folds on the training data set to make the simulation results more reliable and find a model with more general predictive power.

9p viengfa 28-10-2024 5 2   Download

In this study, an artificial neural networkbased 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.

12p viengfa 28-10-2024 2 2   Download

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 viengfa 28-10-2024 3 2   Download

The basic characteristics of sensor were investigated, and these experimental data were used for a machine learning. The results of the model validation proved to be a reliable way between the experiment and prediction values.

10p viengfa 28-10-2024 3 2   Download

This review explores recent ML advancements in assessing corrosion in RC structures. Various algorithms, such as Artificial Neural Networks (ANNs), Gene Expression Programming (GEP), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM) and Ensemble Learning, have shown potential in estimating corrosion processes, predicting material properties, and evaluating structural durability.

7p vibenya 31-12-2024 6 2   Download

Bài giảng Máy học và mạng neural - Bài 4 trang bị cho người học những kiên thức về mạng nơron nhân tạo (Artificial Neural Networks). Các nội dung chính được trình bày trong chương này gồm có: Các bài toán phù hợp với ANNs, cấu tạo ANNs, các hàm ngưỡng, kiến trúc ANNs,... Mời các bạn cùng tham khảo.

41p youcanletgo_04 17-01-2016 155 30   Download

Chương 4 - Các phương pháp học có giám sát (Mạng nơron nhân tạo - Artificial neural network). Chương này trình bày những nội dung chính sau: Giới thiệu mạng nơron nhân tạo, các ứng dụng điển hình, cấu trúc và hoạt động của một nơron nhân tạo, đầu vào và tổng kết dịch chuyển, hàm tác động - Giới hạn cứng, logic ngưỡng, kiến trúc mạng,... Mời các bạn cùng tham khảo nội dung chi tiết.

68p tieu_vu16 03-01-2019 53 4   Download

Bài giảng "Máy học nâng cao: Artificial neural network" cung cấp cho người học các kiến thức: Introduction, perceptron, neural network, backpropagation algorithm. Mời các bạn cùng tham khảo nội dung chi tiết.

62p abcxyz123_08 11-04-2020 41 4   Download

Bài giảng cung cấp cho người học các kiến thức: Giới thiệu mạng nơron nhân tạo, các ứng dụng điển hình, cấu trúc và hoạt động của một nơron nhân tạo, đầu vào và tổng kết dịch chuyển, hàm tác động - Giới hạn cứng, logic ngưỡng, kiến trúc mạng,... Mời các bạn cùng tham khảo nội dung chi tiết.

47p koxih_kothogmih7 24-09-2020 44 8   Download

Bài giảng Nhập môn Học máy và Khai phá dữ liệu: Chương 8, chương này cung cấp cho học viên những nội dung về: phân lớp; mạng nơron nhân tạo (Artificial neural network); các ứng dụng điển hình của mạng nơron nhân tạo; cấu trúc và hoạt động của một nơ-ron; kiến trúc mạng nơron nhân tạo;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!

69p duonghoanglacnhi 07-11-2022 33 7   Download

The research subject is the process of economic and mathematical modelling of time series characterizing the bitcoin exchange rate volatility, based on the use of artificial neural networks. The purpose of the work is to search and scientifically substantiate the tools and mechanisms for developing prognostic estimates of the crypto currency market development. The paper considers the task of financial time series trend forecasting using the LSTM neural network for supply chain strategies.

5p longtimenosee09 08-04-2024 15 2   Download

The broad aim of this research project is to optimize planned and emergency maintenance tasks and timings for tram tracks. Consistent with that broad aim, the following specific objectives are identified: Understand the factors affecting the degradation of tram tracks; develop a degradation prediction model for tracks as a function of the influencing factors; evaluate the time and type of maintenance required for deteriorated rail tracks.

101p runthenight04 02-02-2023 9 2   Download