A support vector regression (SVR)-based method for dynamic load identification using heterogeneous responses under interval uncertainties

2021 ◽  
pp. 107599
Author(s):  
Yaru Liu ◽  
Lei Wang ◽  
Kaixuan Gu
Keyword(s):  
Support Vector Regression ◽  
Dynamic Load ◽  
Support Vector ◽  
Load Identification ◽  
Interval Uncertainties

Overview of the Latest Method and Development Direction for Dynamic Load Identification

2014 ◽  
Vol 556-562 ◽  
pp. 2573-2576
Author(s):  
Wei Guan ◽  
Cheng Wang ◽  
D.S. Chen ◽  
Jin Gou
Keyword(s):  
Dynamic Load ◽  
Optimization Methods ◽  
Support Vector ◽  
Load Identification ◽  
Engineering Structures ◽  
Transform Method ◽  
Advantages And Disadvantages ◽  
Development Direction ◽  
Network Method ◽  
Security And Reliability

The accurate load identification can ensure the security and reliability of engineering structures. Recently, this technique has attracted much attention by many scholars. This paper concludes the latest load identification technologies at home and abroad, which include the machine learning methods based on neural network method, support vector machine (SVM) and optimization methods, and the wavelet transform method. In addition, their advantages and disadvantages and the applicable ranges are also discussed. Finally, the prospect of dynamic load identification was discussed, so as to extend the application area of load identification. n�GeZ����6�span>dentification

Local and Regional Hour-Ahead Forecasts of Solar Irradiance with Training Data Selection and Support Vector Regression

2016 ◽  
Vol 136 (12) ◽  
pp. 898-907 ◽  
Author(s):  
Joao Gari da Silva Fonseca Junior ◽  
Hideaki Ohtake ◽  
Takashi Oozeki ◽  
Kazuhiko Ogimoto
Keyword(s):  
Support Vector Regression ◽  
Solar Irradiance ◽  
Training Data ◽  
Data Selection ◽  
Support Vector ◽  
Training Data Selection

Data Analytics to Help Improve Hydraulic Fracture Geometry Prediction Using Support Vector Regression: Case Study

2020 ◽  
Author(s):  
Avinash Wesley ◽  
Bharat Mantha ◽  
Ajay Rajeev ◽  
Aimee Taylor ◽  
Mohit Dholi ◽  
...  
Keyword(s):  
Support Vector Regression ◽  
Hydraulic Fracture ◽  
Data Analytics ◽  
Support Vector ◽  
Fracture Geometry

IMPLEMENTASI SUPPORT VECTOR MACHINE PADA PREDIKSI HARGA SAHAM GABUNGAN (IHSG)

2020 ◽  
Vol 25 (1) ◽  
pp. 24-38
Author(s):  
Eka Patriya
Keyword(s):  
Machine Learning ◽  
Support Vector Machine ◽  
Support Vector Regression ◽  
Support Vector

Saham adalah instrumen pasar keuangan yang banyak dipilih oleh investor sebagai alternatif sumber keuangan, akan tetapi saham yang diperjual belikan di pasar keuangan sering mengalami fluktuasi harga (naik dan turun) yang tinggi. Para investor berpeluang tidak hanya mendapat keuntungan, tetapi juga dapat mengalami kerugian di masa mendatang. Salah satu indikator yang perlu diperhatikan oleh investor dalam berinvestasi saham adalah pergerakan Indeks Harga Saham Gabungan (IHSG). Tindakan dalam menganalisa IHSG merupakan hal yang penting dilakukan oleh investor dengan tujuan untuk menemukan suatu trend atau pola yang mungkin berulang dari pergerakan harga saham masa lalu, sehingga dapat digunakan untuk memprediksi pergerakan harga saham di masa mendatang. Salah satu metode yang dapat digunakan untuk memprediksi pergerakan harga saham secara akurat adalah machine learning. Pada penelitian ini dibuat sebuah model prediksi harga penutupan IHSG menggunakan algoritma Support Vector Regression (SVR) yang menghasilkan kemampuan prediksi dan generalisasi yang baik dengan nilai RMSE training dan testing sebesar 14.334 dan 20.281, serta MAPE training dan testing sebesar 0.211% dan 0.251%. Hasil penelitian ini diharapkan dapat membantu para investor dalam mengambil keputusan untuk menyusun strategi investasi saham.

Support Vector Regression Optimization Problem without Bias

2012 ◽  
Vol 23 (9) ◽  
pp. 2336-2346
Author(s):  
Xiao-Jian DING ◽  
Yin-Liang ZHAO
Keyword(s):  
Support Vector Regression ◽  
Optimization Problem ◽  
Support Vector
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