Efficiency and quality of services are crucial to today's banking industries. The competition in this section has become increasingly intense, as a result of fast improvements in Technology. Therefore, performance analysis of the banking sectors attracts more attention these days. Even though...

The primary objective of this research is to obtain an accurate forecasting model for the US presidential election. To identify a reliable model, artificial neural networks (ANN) and support vector regression (SVR) models are compared based on some specified performance measures. Moreover, six...

Seven adaptive approaches to post-processing wind speed forecasts are discussed and compared. 48-hour forecasts are run at horizontal resolutions of 7 km and 3 km for a domain centred over Ireland. Forecast wind speeds over a two year period are compared to observed wind speeds at seven synoptic...

Machine learning and agent-based modeling are two popular tools in energy research. In this article, we propose an innovative methodology that combines these methods. For this purpose, we develop an electricity price forecasting technique using artificial neural networks and integrate the novel...

Accurate prediction of stock market behavior is a challenging issue for financial forecasting. Artificial neural networks, such as multilayer perceptron have been established as better approximation and classification models for this domain. This study proposes a chemical reaction optimization...

Extreme learning machine (ELM) allows for fast learning and better generalization performance than conventional gradient-based learning. However, the possible inclusion of non-optimal weight and bias due to random selection and the need for more hidden neurons adversely influence network...

While social network sites (SNSs) has emerged as one of the most promising futuristic trends in mobile commerce (m-commerce), how customers’ trust impact on customer attitude and willingness to buy through SNSs remains largely underexplored. This study develops a theoretical model to examine...

Nahezu die Hälfte der Bundestagsmandate wird über die Direktwahl in den Wahlkreisen vergeben. Das bleibt in einem Großteil der Wahlprognosemodelle jedoch unberücksichtigt. In diesem Beitrag stellen wir einen Ansatz zur Vorhersage der Erststimmenanteile in Wahlkreisen für Bundestagswahlen...