Temperature study and model development related to estimation is an essential and important task not only for a human … is considered a dominant prediction model which is heavily used in forecasting in spite of the difficulties related to … purpose is to use a nonlinear model structure to forecast the temperature at the airport of Mumbai city in India using the …

efficiently forecast CRs in QFD. The tool allows for forecasting using various data mining based time series analysis techniques … changing, giving rise the need to forecast CRs to improve competitiveness and increase customer satisfaction. The purpose can … be served by using Data Mining techniques of forecasting. With the pool of forecasting techniques available, it is …

, it is of paramount importance to accurately forecast the energy requirements. In the present paper, the future energy …

input variable. Both approaches could facilitate project stakeholders, to forecast the projects' final delivery date and …

authors are analyze and forecast the impact of major world indices on the SENSEX using ANN's. …

Social media-based forecasting has received significant attention from academia and industries in recent years. With a …

In recent years, various methods for forecasting fuzzy time series have been presented in different areas, such as …/equal length of interval has been used. Length of the interval has significant role on forecasting accuracy. The objective of this … information of elements within a group or interval to the forecast. This idea outperforms the existing high order forecast methods …