نتایج جستجو برای: least square support vector machine lssvm

تعداد نتایج: 1470782  

2016
Huihui Yu Yingyi Chen ShahbazGul Hassan Daoliang Li

A precise predictive model is needed to obtain a clear understanding of the changing dissolved oxygen content in outdoor crab ponds, to assess how to reduce risk and to optimize water quality management. The uncertainties in the data from multiple sensors are a significant factor when building a dissolved oxygen content prediction model. To increase prediction accuracy, a new hybrid dissolved o...

Journal: :journal of medical signals and sensors 0
parinaz mortaheb mehdi rezaeian

segmentation and three‑dimensional (3d) visualization of teeth in dental computerized tomography (ct) images are of dentists’ requirements for both abnormalities diagnosis and the treatments such as dental implant and orthodontic planning. on the other hand, dental ct image segmentation is a difficult process because of the specific characteristics of the tooth’s structure. this paper presents ...

Journal: :Computational Statistics & Data Analysis 2014

Journal: :iranian journal of oil & gas science and technology 2013
morteza nouri taleghani sadegh saffarzadeh mina karimi khaledi ghasem zargar

porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. it is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. there are three main petrophysical...

2015
Wei Sun Yi Liang Frede Blaabjerg

Affected by various environmental factors, wind speed presents high fluctuation, nonlinear and non-stationary characteristics. To evaluate wind energy properly and efficiently, this paper proposes a modified fast ensemble empirical model decomposition (FEEMD)-bat algorithm (BA)-least support vector machines (LSSVM) (FEEMD-BA-LSSVM) model combined with input selected by deep quantitative analysi...

Journal: :Dimensi Utama Teknik Sipil 2023

Mengetahui perusahaan akan mengalami financial distress adalah hal yang penting bagi banyak pihak. Banyak metode digunakan dalam memprediksi distress, seperti Multivariate Discriminant Analysis (MDA), logistic regression, hiingga paling terbaru menggunakan artificial intelligence. Dalam membuat model prediksi, akurasi mendekati sempurna ingin dicapai, sehingga terus dilakukan penelitian agar ma...

Journal: :Journal of Marine Science and Engineering 2023

The accurate prediction of significant wave height (SWH) offers major safety improvements for coastal and ocean engineering applications. However, the phenomenon is nonlinear nonstationary, which makes any work a non-straightforward task. aim research presented in this paper to improve predicted via hybrid algorithm. Firstly, an empirical mode decomposition (EMD) used preprocess data, are decom...

Journal: :Water 2023

Precipitation is a vital component of the regional water resource circulation system. Accurate and efficient precipitation prediction especially important in context global warming, as it can help explore pattern promote comprehensive utilization. However, due to influence many factors, process exhibits significant stochasticity, uncertainty, nonlinearity despite having some regularity. In this...

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