Time series modeling in traffic safety research
The use of statistical models for analyzing traffic safety (crash) data has been well-
established. However, time series techniques have traditionally been underrepresented in …
established. However, time series techniques have traditionally been underrepresented in …
Neural networks performance in exchange rate prediction
S Galeshchuk - Neurocomputing, 2016 - Elsevier
Exploration of ANNs for the economic purposes is described and empirically examined with
the foreign exchange market data. For the experiments, panel data of the exchange rates …
the foreign exchange market data. For the experiments, panel data of the exchange rates …
Forecasting the industrial solar energy consumption using a novel seasonal GM (1, 1) model with dynamic seasonal adjustment factors
ZX Wang, ZW Wang, Q Li - Energy, 2020 - Elsevier
Due to influences of natural and social factors, the data of solar energy consumption
generally show the characteristic of seasonal fluctuations. In order to forecast data with …
generally show the characteristic of seasonal fluctuations. In order to forecast data with …
Predicting vehicle sales by sentiment analysis of Twitter data and stock market values
PF Pai, CH Liu - IEEE Access, 2018 - ieeexplore.ieee.org
Owning to the booming of social media, making comments or expressing opinions about
merchandises online becomes easier than before. Data from social media might be one of …
merchandises online becomes easier than before. Data from social media might be one of …
Fast fashion sales forecasting with limited data and time
TM Choi, CL Hui, N Liu, SF Ng, Y Yu - Decision Support Systems, 2014 - Elsevier
Fast fashion is a commonly adopted strategy in fashion retailing. Under fast fashion,
operational decisions have to be made with a tight schedule and the corresponding …
operational decisions have to be made with a tight schedule and the corresponding …
A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain
JNC Gonçalves, P Cortez, MS Carvalho… - Decision Support …, 2021 - Elsevier
Demand forecasting works as a basis for operating, business and production planning
decisions in many supply chain contexts. Yet, how to accurately predict the manufacturer's …
decisions in many supply chain contexts. Yet, how to accurately predict the manufacturer's …
Novel hybrid data-intelligence model for forecasting monthly rainfall with uncertainty analysis
In this research, three different evolutionary algorithms (EAs), namely, particle swarm
optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are integrated …
optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are integrated …
[图书][B] Modern optimization with R
P Cortez, Cortez - 2014 - Springer
At present, we are in the age of data, where multiple individual and organizational activities
and processes generate big data that can be processed using information technology (IT) …
and processes generate big data that can be processed using information technology (IT) …
Design of a support vector machine with different kernel functions to predict scour depth around bridge piers
Scour depth is a vital subject in bridge pier design. The exact estimation of scour depth can
prevent damage caused by bridge failure and facilitate optimal bridge pier design. In this …
prevent damage caused by bridge failure and facilitate optimal bridge pier design. In this …
An intelligent event-sentiment-based daily foreign exchange rate forecasting system
Financial time series analysis is an important research area that can predict various
economic indicators such as the foreign currency exchange rate. In this paper, a deep …
economic indicators such as the foreign currency exchange rate. In this paper, a deep …