Twin support vector machine (TWSVM) and twin support vector regression (TSVR) are newly
emerging efficient machine learning techniques which offer promising solutions for …

Twin support vector regression (TSVR) is a useful extension of traditional support vector
regression (SVR). As a new regression model, the basic idea of TSVR is generating a pair of …

The learning speed of classical Support Vector Regression (SVR) is low, since it is
constructed based on the minimization of a convex quadratic function subject to the pair …

A probabilistic load forecast that is accurate and reliable is crucial to not only the efficient
operation of power systems but also to the efficient use of energy resources. In order to …

This study proposes a new regressor—ε-twin support vector regression (ε-TSVR) based on
TSVR. ε-TSVR determines a pair of ε-insensitive proximal functions by solving two related …

To estimate the compressive strength of cement‐based materials with mining waste, the
dataset based on a series of experimental studies was constructed. The support vector …

Forecasting daily tourist arrivals are crucial for tourism practitioners and researchers.
Previous studies have shown that it is challenging to forecast the high volatility of daily …

To propose an effective and reasonable excavation plan for rock joints to control the overall
stability of the surrounding rock mass and predict and prevent engineering disasters, this …

Rapid urbanization and rising land demand has necessitated the use of land space which
was considered unsuitable from the engineering point of view by rendering them suitable by …

The industrialization has been the primary cause of the economic boom in almost all
countries. However, this happened at the cost of the environment, as industrialization also …