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102.923 Articles

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Using Principal Component Analysis and Least Squares Support Vector Machine to Predict the Silicon Content in Blast Furnace System

Shihua Luo,Tianxin Chen,Ling Jian

Blast furnace system is a typical example of complex industrial system. The silicon ([Si]) content in blast furnace system is an important index to reflect the temperature of furnace. Therefore, it is significant to carry out an accurate predictive contro... see more

blast furnace system | principal component analysis | least squares support vector machine | silicon content prediction

International Journal of Online Engineering (iJOE) , 2018

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LEAST SQUARES SUPPORT VECTOR MACHINES PARAMETER OPTIMIZATION BASED ON IMPROVED ANT COLONY ALGORITHM FOR HEPATITIS DIAGNOSIS

Nursuci Putri Husain,Nursanti Novi Arisa,Putri Nur Rahayu,Agus Zainal Arifin,Darlis Herumurti

Many kinds of classification method are able to diagnose a patient who suffered Hepatitis disease. One of classification methods that can be used was Least Squares Support Vector Machines (LSSVM). There are two parameters that very influence to improve th... see more

Classification | Least Squares Support Vector Machines | Improved Ant Colony Algorithm | Local Fisher Discriminant Analysis | Hepatitis Disease

Jurnal Ilmu Komputer dan Informasi , 2017

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Dissolved gas content forecasting in power transformers based on Least Square Support Vector Machine (LSSVM)

Roberto Fiallos

Taking into account the chaotic characteristic of gas production within power transformers, a Least Square Support Vector Machine (LSSVM) model is implemented to forecast dissolved gas content based on historical chromatography samples. Additionally, an e... see more

Dissolved gas analysis (DGA) | Gas chromatography | machine learning | Least Square Support Vector Machine (LSSVM).

Latin American Journal of Computing , 2017

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USING A LEAST SQUARES SUPPORT VECTOR MACHINE TO ESTIMATE A LOCAL GEOMETRIC GEOID MODEL

SZU-PYNG KAO KAO,CHAO-NAN CHEN,HUI-CHI HUANG,YU-TING SHEN

In this study, test-region global positioning system (GPS) control points exhibitingknown first-order orthometric heights were employed to obtain the points of planecoordinates and ellipsoidal heights by using the real-time GPS kinematicmeasurement method... see more

Least Squares Support Vector Machine (LS-SVM) | Kernel Function | Local Geoid Model

Boletim de Ciências Geodésicas , 2014

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A Short-Term Load Forecasting Model with a Modified Particle Swarm Optimization Algorithm and Least Squares Support Vector Machine Based on the Denoising Method of Empirical Mode Decomposition and Grey Relational Analysis

Dongxiao Niu and Shuyu Dai

As an important part of power system planning and the basis of economic operation of power systems, the main work of power load forecasting is to predict the time distribution and spatial distribution of future power loads. The accuracy of load forecastin... see more

short-term load forecasting | empirical mode decomposition | grey relational analysis | modified particle swarm optimization algorithm | least square support vector machine

Energies , 2017

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An EMD-Based Chaotic Least Squares Support Vector Machine Hybrid Model for Annual Runoff Forecasting

Xuehua Zhao, Xu Chen, Yongxin Xu, Dongjie Xi, Yongbo Zhang, Xiuqing Zheng

Accurate forecasting of annual runoff is necessary for water resources management. However, a runoff series consists of complex nonlinear and non-stationary characteristics, which makes forecasting difficult. To contribute towards improved prediction accu... see more

empirical mode decomposition | chaotic characteristics | phase space reconstruction | least squares support vector machine | runoff forecasting

Water , 2017

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Least Squares Support Vector Machine for Ranking Solutions of Multi-Objective Water Resources Allocation Optimization Models

Weilin Liu, Lina Liu, Fang Tong

There is an increasing trend in the use of multi-objective evolutionary algorithms (MOEAs) to solve multi-objective optimization problems of the allocation of water resources. However, typically the outcome is a set of Pareto optimal solutions which make ... see more

least squares support vector machine (LSSVM) | k-means clustering | artificial neural network (ANN) | water resources allocation

Water , 2017

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Use of VIS-NIRS for land management classification with a support vector machine and prediction of soil organic carbon and other soil properties

Guillaume Debaene,Dorota Pikula,Jacek Niedzwiecki

The objective of this research was to investigate the effects of a long-term experiment on soil spectral properties and to develop prediction models of these properties (soil organic carbon (SOC), N, pH, Hh, P2O5, K2O, Ca, Mg, K, and Na content) from text... see more

Ciencia e investigación agraria , 2014

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Use of VIS-NIRS for land management classification with a support vector machine and prediction of soil organic carbon and other soil properties

Guillaume Debaene, Dorota Pikula, Jacek Niedzwiecki

Ciencia e investigación agraria , 2014

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