Analisis Kinerja Metode Support Vector Regression (SVR) dalam Memprediksi Indeks Harga Konsumen

Tehran Stock Price Modeling and Forecasting Using Support Vector Regression (SVR) and Its Comparison with the Classic Model ARIMA

Soil moisture estimation by using active microwave measurements and support vector regression (SVR)

In this study the capabilities of an empirical regression approach for retrieving land surface soil moisture were investigated, by combining time series of ASCAT observations and in-situ data. The Support Vector Regression (SVR) is a novel technique that is utilized for establishing a direct relationship between remote sensing observations and the geophysical parameter of interest. ASCAT series...

Application of Hybrid Quantum Tabu Search with Support Vector Regression (SVR) for Load Forecasting

Hybridizing chaotic evolutionary algorithms with support vector regression (SVR) to improve forecasting accuracy is a hot topic in electricity load forecasting. Trapping at local optima and premature convergence are critical shortcomings of the tabu search (TS) algorithm. This paper investigates potential improvements of the TS algorithm by applying quantum computing mechanics to enhance the se...

Project Evaluation Method Based on Matter-Element and Hierarchy Model

Abstrak Evaluasi proyek selalu menjadi kunci dari manajemen proyek rekayasa. Evaluasi proyek adalah pekerjaan yang kompleks yang melibatkan banyak faktor. Hasil evaluasi akhir selalu dipengaruhi langsung oleh definisi indeks evaluasi yang bervariasi dan bobot yang terkait. Makalah ini terutama mempelajari penilaian kemampuan para ahli dan pembentukan sistem evaluasi proyek indeks dalam tinjauan...

Balanced Support Vector Regression

We propose a novel idea of regression – balancing the distances from a regression function to all examples. We created a method, called balanced support vector regression (balanced SVR) in which we incorporated this idea to support vector regression (SVR) by adding an equality constraint to the SVR optimization problem. We implemented our method for two versions of SVR: ε-insensitive support ve...