全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Yusuf Karadede , Gültekin Özdemir
来源:[J].Soft Computing(IF 1.124), 2018, Vol.22 (20), pp.6937-6964Springer
摘要:Abstract(#br)The aim of this paper is to present an alternative solution model to estimate the coefficients of large-scaled linear and nonlinear real-life problems due to the fact that least squares and least median squares parameter estimators have some drawbacks when including ...
作者:P. Nagabhushan , S.A. Angadi , B.S. Anami
来源:[J].Applied Soft Computing Journal(IF 2.14), 2008, Vol.9 (2), pp.806-816Elsevier
摘要:... This paper presents a soft computing model to map the postal address to mail delivery point. Firstly machine readable postal address is processed to identify the address components using a novel fuzzy symbolic similarity analysis, and further these labeled components are ...
作者:Kim , Shiri , Singh ...
来源:[J].Hydrological Sciences Journal(IF 1.114), 2015, Vol.60 (6), pp.1120-1136Taylor & Francis
摘要:... This study develops and applies soft computing models to predict daily PE in a dry climate region of south-western Iran. Three soft computing models, namely the multilayer perceptron-neural networks model (MLP-NNM), Kohonen self-organizing feature maps-neural networks model (...
作者:Junliang Fan , Xin Ma , Lifeng Wu ...
来源:[J].Agricultural Water Management(IF 2.203), 2019, Vol.225Elsevier
摘要:... This study evaluated the efficiency of a new tree-based soft computing model, Light Gradient Boosting Machine (LightGBM), for estimating daily ET 0 using limited local (target-station) and external (cross-station) meteorological data from 49 weather stations in humid sub...
作者:Akshay Morey , Soumyashis Pradhan , Rahul Anil Kumar ...
来源:[J].Chemical Engineering Communications(IF 1.052), 2019, Vol.206 (1), pp.69-85Taylor & Francis
摘要:Abstract(#br)In this article, data-driven models are developed for real time monitoring of sulfur dioxide and hydrogen sulfide in the tail gas stream of sulfur recovery unit (SRU). Statistical [partial least square (PLS), ridge regression (RR) and Gaussian process regression (GPR...
作者:Hüseyin Gürüler , Musa Peker , Ömür Baysal
来源:[J].Electronic Journal of Biotechnology(IF 0.827), 2015, Vol.18 (5), pp.347-354Elsevier
摘要:... Besides rapid identification of plant pathogens causing disease, assessing genetic diversity and pathotype formation using automated soft computing methods are advantageous in terms of following genetic variation of pathogens on plants. In the present study, artificial neural...
作者:Mohammad Zounemat-Kermani , Youngmin Seo , Sungwon Kim ...
来源:[J].Applied Sciences, 2019, Vol.9 (12)DOAJ
摘要:This study evaluates standalone and hybrid soft computing models for predicting dissolved oxygen (DO) concentration by utilizing different water quality parameters. In the first stage, two standalone soft computing models, including multilayer perceptron (MLP) neural network ...
作者:Junliang Fan , Xiukang Wang , Fucang Zhang ...
来源:[J].Journal of Cleaner Production(IF 3.398), 2019Elsevier
摘要:... This study evaluated the performance of support vector machine (SVM) and four tree-based soft computing models, i.e. M5 model tree (M5Tree), random forest (RF), extreme gradient boosting (XGBoost) and gradient boosting with categorical features support (CatBoost), for predic...
作者:R. Vaira Vignesh , R. Padmanaban
来源:[J].Russian Journal of Non-Ferrous Metals(IF 0.105), 2018, Vol.59 (2), pp.135-141Springer
摘要:... The experimental results are used to develop a statistical model, and soft computing models based on artificial neural network and Sugeno–Fuzzy logic to predict the wear rate of AZ91D alloy. Sugeno–Fuzzy model had the highest accuracy in prediction and hence used to st...
作者:Sudipto Chaki , B. Shanmugarajan , Sujit Ghosal ...
来源:[J].Applied Soft Computing Journal(IF 2.14), 2015, Vol.30, pp.365-374Elsevier
摘要:Abstract(#br)In this paper, artificial neural networks (ANNs), genetic algorithm (GA), simulated annealing (SA) and Quasi Newton line search techniques have been combined to develop three integrated soft computing based models such as ANN–GA, ANN–SA and ANN–Quasi Newton ...

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