Black-box models play an important role in advancing the blast furnace modeling
technologies for control purposes. To further enhance their practical applications, this paper …

Long-term travel time prediction (TTP) can be an important planning tool for both freight
transport and public transport companies. In both cases it is expected that the use of long …

The European carbon emission trading market is critical in achieving planned carbon
emission reduction for global sustainable growth. This paper investigates various statistical …

This paper compares the performance in financial market prediction of a Neural Network
approach and an approach using the regression feature of SVM. The historical values used …

Increasing interest has been shown in the use of classifiers to extract informative patterns
from time series data generated by monitoring financial phenomena. This paper investigates …

Nesta tese é realizado um estudo sobre como utilizar previsões de tempos de viagem nas
tarefas de planeamento de empresas de transportes rodoviários de passageiros. São …

Abstract A hybrid PSO-SVM-based model is proposed to predict the friction coefficient
between aircraft tire and coating. The presented hybrid model combines a support vector …

Sažetak The main objective of this analysis is to evaluate and compare the various
classification algorithms for the automatic identification of favourable days for intraday …

This paper has surveyed on education evaluation method and technology at home and
abroad, and also researched on the statistics and analysis of internal education evaluation …

Inspired by the success of deep learning in big data image recognition in Restricted
Boltzmann Machine, Conditional Restricted Boltzmann Machine which was the original …