A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam)
Sign Up to like & getrecommendations! Published in 2018 at "Engineering with Computers"
DOI: 10.1007/s00366-018-0643-1
Abstract: Determining the shear strength of soil is an important task in the design phase of construction project. This study puts forward an artificial intelligence (AI) solution to estimate this parameter of soil. The proposed approach… read more here.
Keywords: project; construction; shear strength; lssvm ... See more keywords
Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method
Sign Up to like & getrecommendations! Published in 2021 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.117291
Abstract: Abstract The primary means to promote grid-connected photovoltaic power generation is through accurately forecasting the power output from photovoltaic power stations. This paper proposes a method for day-ahead photovoltaic power forecasting (PPF) and uncertainty analysis… read more here.
Keywords: ahead photovoltaic; lssvm; power; photovoltaic power ... See more keywords
Daily PM2.5 concentration prediction based on principal component analysis and LSSVM optimized by cuckoo search algorithm.
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DOI: 10.1016/j.jenvman.2016.12.011
Abstract: Increased attention has been paid to PM2.5 pollution in China. Due to its detrimental effects on environment and health, it is important to establish a PM2.5 concentration forecasting model with high precision for its monitoring… read more here.
Keywords: pm2 concentration; principal component; lssvm; model ... See more keywords
A Strategy for the Effective Optimization of Pharmaceutical Formulations Based on Parameter-Optimized Support Vector Machine Model
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DOI: 10.1208/s12249-022-02210-2
Abstract: Engineering pharmaceutical formulations is governed by a number of variables, and the finding of the optimal preparation is intricately linked to the exploration of a multiparametric space through a variety of optimization tasks. As a… read more here.
Keywords: lssvm; pharmaceutical formulations; optimization; model ... See more keywords
Prediction Model for Dissolved Gas Concentration in Transformer Oil Based on Modified Grey Wolf Optimizer and LSSVM with Grey Relational Analysis and Empirical Mode Decomposition
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DOI: 10.3390/en13020422
Abstract: Oil-immersed transformer is one of the most important components in the power system. The dissolved gas concentration prediction in oil is vital for early incipient fault detection of transformer. In this paper, a model for… read more here.
Keywords: dissolved gas; lssvm; oil; gas concentration ... See more keywords