Support vector machine algorithms
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Part 2 of ebook "Measuring technology and mechatronics automation in electrical engineering" provides readers with contents including: hardware-in-the-loop for on-line identification of SSP driving motor; hybrid adaptive fuzzy vector control vector control for single-phase induction motors; hybrid intelligent algorithm based on hierarchical encoding for training of RBF neural network; improved fuzzy neural network for stock market prediction and application; landslide recognition in mountain image based on support vector machine;...
259p dongmelo 20-05-2024 5 1 Download
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The research "Application of random forest algorithm and google colab for land cover classification" is to provide the approach RF with Google Colab environment for classifying land cover in Quang Binh province, Vietnam using sentinel - 2 image in August 2021. The results have indicated the ability of this research direction with an overall accuracy above 80 %.
9p tukhauquantuong1011 22-04-2024 6 2 Download
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In this paper, a SVM parameter optimization method based on Adaptive Elitist Differential Evolution (AeDE-SVM) is proposed. Furthermore, AeDE-SVM is applied to diagnose roller bearing fault by using complementary ensemble empirical mode decomposition (CEEMD) and singular value decomposition (SVD) techniques.
11p vimarillynhewson 02-01-2024 6 2 Download
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This paper presents a new method for roller bearing fault diagnosis based on least square support vector machine (LSSVM) with parameters optimized by Backtracking Search Optimization Algorithm (BSOA), namely BSOA-LSSVM. First, roller bearing acceleration vibration signals are decomposed into functions by using Variational Mode Decomposition (VMD) method.
10p vimarillynhewson 02-01-2024 8 2 Download
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The article studies the problem of forecasting the closing price of a stock based on historical data of a previous day. The paper uses and compares algorithms based on deep learning such as LSTM, BiLSTM, and CNN. The dataset includes data on price, trading volume and some technical indicators related to VCB, MSN, and HPG shares. The results show that CNN performs better for predicting the next day’s closing price than the other architectures.
11p visystrom 22-11-2023 8 4 Download
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Part 1 of ebook "Understanding machine learning: From theory to algorithms" provides readers with contents including: foundations; from theory to algorithms; a formal learning model; learning via uniform convergence; the bias-complexity tradeoff; linear predictors; model selection and validation; convex learning problems; support vector machines; multiclass, ranking, and complex prediction problems;...
284p tieulangtran 28-09-2023 7 3 Download
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Bài viết Ứng dụng công nghệ trí tuệ nhân tạo Artificial Intelligence (AI) trong hoạt động khai thác khoáng sản dựa trên các công bố trong và ngoài nước tiến hành tổng hợp, giới thiệu tổng quan về AI, phân tích xu hướng sử dụng AI trên thế giới và ở Việt Nam. Ngoài ra nhóm tác giả cũng tập trung phân tích ứng dụng mạng Nơ-ron (Neural Network), bài toán tối ưu trong Support Vector Machine (SVM) và Giải thuật di truyền (GA-Genetic Algorithms) nhằm hỗ trợ chủ lực cho xu hướng khai thác khoảng sản thông minh đảm bảo an toàn và nâng cao hiệu quả khai thác cho các mỏ than Việt Nam.
7p vifriedrich 06-09-2023 8 3 Download
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In this paper, a novel algorithm is proposed for the recognition of human faces and temperature using deep learning methods and thermal face images. The search-based method is developed for selection of an optimal structure and parameters of the convolutional neural network using the thermal images as the input.
6p viannee 02-08-2023 5 3 Download
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The impact of different rice husk ash contents (5, 10, 20%) on mortar strength is examined at different elevated temperatures (150, 300, 450, 750oC). Based on a 45 experimental result data set, three machine learning algorithms including the Artificial Neural Network (ANN), the Least Squares Support Vector Regression (LS-SVR) and the Multivariate Adaptive Regression Splines (MARS) have been used to model the functional relationship between the mixture components and the compressive strength.
10p nhanchienthien 25-07-2023 6 4 Download
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This study demonstrated an approach for mapping land-use/land-cover by combining Landsat-8 images with a high-quality reference dataset in a classification model using the Support Vector Machine algorithm.
8p vinebula 02-06-2023 6 2 Download
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Ebook Machine learning algorithms: Part 1 presents the following content: Chapter 1: a gentle introduction to machine learning, chapter 2: important elements in machine learning, chapter 3: feature selection and feature engineering, chapter 4: linear regression, chapter 5: logistic regression, chapter 6: naive bayes, chapter 7: support vector machines.
169p runthenight09 06-05-2023 8 4 Download
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The aim of this study was to develop a rapid method for determining geographical origin of black pepper based on combination of near-infrared spectroscopy and chemometric algorithms. Near-infrared spectroscopy was used to determine the geographical origin of 111 black pepper samples from three regions in Vietnam: North Central Region, Central Highlands and Southeast Region.
8p viblackwidow 07-04-2023 7 4 Download
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"Wifi fingerprinting-based indoor positioning with machine learning algorithms" implement and compare the positioning results of three machine learning algorithms such as support vector machine, decision tree, and random forest. The algorithms are applied to a multi-condition WiFi fingerprinting dataset which was conducted in an office room where different environmental conditions are considered.
5p lieuyeuyeu18 23-12-2022 9 4 Download
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This paper proposes an integration of one-againstone (OAO) strategy and support vector machines (SVM) to diagnose multiple faults of steel plates. The OAO is adopted to address multi-classification tasks in the binary SVM (i.e, OAOSVMs). The performance of the proposed model is compared with that of optimization algorithm-based SVM.
4p vispyker 16-11-2022 6 1 Download
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In this paper, multiple classification algorithms including support vector machine (SVM), random forest (RF), decision tree (DT), K-nearest neighbours (KNN), logistic regression, Gaussian, Bernoulli, multinomial Naïve Bayes, and linear discriminant analysis were executed on the seismic attributes for lithofacies prediction.
9p vibentley 08-09-2022 14 4 Download
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Predicting the residual flexural capacity of corroded reinforced concrete (RC) structures is to help civil engineers decide to repair or strengthen the structures. This study presents the application of six single algorithm-based models of artificial intelligence, such as artificial neural network (ANN), support vector machine (SVM), classification and regression trees (CART), linear regression (LR), general linear model (GENLIN), and automatic Chisquared interaction detection (CHAID) to predict the residual flexural capacity of corroded RC structures.
12p viaudi 29-08-2022 8 3 Download
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In this paper, multi-input multi-output least square support vector regression (MIMOLSSVR) is an improved algorithm based on support vector machine (SVM), with the combination of the sliding-window algorithm is proposed for interval-valued time series forecasting, a new branch in time series analysis field.
4p vichristinelagarde 04-07-2022 7 1 Download
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The Cryptocurrency is growing strongly and widely such as Bitcoin (BTC) and Ethereum (ETH) used in the world, which has attracted wide attention of researchers in recent times. In this work, Autoregressive Integrate Moving Average (ARIMA) model, machine learning algorithms, Support Vector Regression (SVR) will be implemented to predict the closing price of The Cryptocurrency the next day.
7p visherylsandberg 18-05-2022 14 2 Download
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There is no unified treatment standard for patients with extranodal NK/T-cell lymphoma (ENKTL). Cancer neoantigens are the result of somatic mutations and cancer-specific. Increased number of somatic mutations are associated with anti-cancer effects.
12p vielonmusk 21-01-2022 11 0 Download
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In recent years, financial time series forecasts have become a challenging issue and attracted many researchers. This study develops a novel hybrid model to forecast stock price in Vietnam Stock Exchange. The least squares support vector regression (LSSVR), a machine learning technique, is utilized as a forecast model. A swarm intelligence – firefly algorithm (FA), is applied to optimize hyperparameters of the LSSVR for improving forecast accuracy.
10p vihassoplattner 07-01-2022 17 3 Download