matlab-based ls-svm toolbox (MathWorks Inc)
MathWorks Inc is a verified supplier 
90
Structured Review
MathWorks Inc
matlab-based ls-svm toolbox
Matlab Based Ls Svm Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/ls-svm+toolbox/10__1016_slash_j__infrared__2023__104543-106-16-14
Average 90 stars, based on 1 article reviews
Matlab Based Ls Svm Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/ls-svm+toolbox/10__1016_slash_j__infrared__2023__104543-106-16-14
Average 90 stars, based on 1 article reviews
matlab-based ls-svm toolbox - by Bioz Stars,
2026-10
90/100 stars
Images
Related Articles
other:Article Title: Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least‐squares support vector machine Article Snippet: LS‐SVM was implemented using a Article Title: Hybrid connectionist model determines CO 2 –oil swelling factor Article Snippet: Article Title: An intelligent approach for prediction of angular error in taper cutting using wire-EDM Article Snippet: the present work, a support vector regression (SVR) model is developed to predict the angular error in taper ting using wire electrical discharge machining (WEDM) process.. The model is developed based on the data ained from experimentation.. A set of six important input parameters such as taper angle, part thickness, discharge rent, pulse duration, wire speed and wire tension is chosen to conduct the tapering operation in WEDM. Article Title: A comparison of three methods for estimating leaf area index of paddy rice from optimal hyperspectral bands Article Snippet: This paper follows previous research that identified 15 hyperspectral wavebands that were suitable to estimate paddy rice leaf area index (LAI).. The objectives of the study were to: (1) test the efficiency of the wavebands selected in the previous study, (2) to evaluate the potential of least squares support vector machines (LS-SVM) to estimate paddy rice LAI from canopy hyperspectral reflectance and (3) to compare multiple linear regression-MLR, partial least squares-PLS regression and LS-SVM to determine paddy rice LAI using the selected wavebands.. In the study, measurements of hyperspectral reflectance (350–2500 nm) and corresponding LAI were made for a paddy rice canopy throughout the growing seasons. Article Title: Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model Article Snippet: Please note that technical editing may introduce minor changes to the text and/or graphics, which may alter content.. The journal’s standard Terms & Conditions and the ethical guidelines, outlined in our author and reviewer resource centre, still apply.. In no event shall the Royal Society of Chemistry be held responsible for any errors or omissions in this Accepted Manuscript or any consequences arising from the use of any information it contains. Article Title: Application of genetic algorithm-support vector regression (GA-SVR) for quantitative analysis of herbal medicines Article Snippet: In this paper, a genetic algorithm-support vector regression (GA-SVR) coupled approach was proposed for investigating the relationship between fingerprints and properties of herbal medicines.. GA was used to select variables so as to improve the predictive ability of the models.. Two other widely used approaches, Random Forests (RF) and partial least squares regression (PLSR) combined with GA (namely GA-RF and GA-PLSR, respectively), were also employed and compared with the GA-SVR method. Article Title: Development of predictive models for total phenolics and free p-coumaric acid contents in barley grain by near-infrared spectroscopy. Article Snippet: Barley grains are rich in phenolic compounds, which are associated with reduced risk of chronic diseases.. Development of barley cultivars with high phenolic acid content has become one of the main objectives in breeding programs.. A rapid and accurate method for measuring phenolic compounds would be helpful for crop breeding. Article Title: Performance evaluation of microbial fuel cell by artificial intelligence methods Article Snippet: In the present study, performance of microbial fuel cell (MFC) has been modeled using three potential artificial intelligence (AI) methods such as multi-gene genetic programming (MGGP), artificial neural network and support vector regression.. The effect of two input factors namely, temperature and ferrous sulfate concentrations on the output voltage were studied independently during two operating conditions (before and after start-up) using the three AI models.. The data is randomly divided into training and testing samples containing 80% and 20% sets respectively and then trained and tested by three AI models. |
