The radial basis function neural network was designed for forecasting moments of cardinal changes in stock market behavior, expressed by its entropy values derived from the symbolized time series of stock market index.
An expert-statistical method of data processing designed for forecasting short time series is discussed in detail.
Observers here have good live data of the Sun from telescopes and several space science missions – such as Nasa's twin Solar Terrestrial Relations Observatory (Stereo) spacecraft, the aging Advanced Composition Explorer (Ace) satellite, or the international Solar and Heliospheric Observatory (Soho) – but none of them were specifically designed for forecasting space weather.
A piece of software was created to continuously calculate these parameters in the network, as well as a specially designed Artificial Neural Network, responsible for forecasting the bandwidth occupation.
The research results are beneficial to the design of mooring systems and are significant for forecasting the motion response characteristics of floating tidal current power stations.
A new software BioCalc designed for the forecasting of dynamics of forest ground vegetation diversity, and the EFIMOD model of the forest growth and element cycling in the forest soil system is used for simulating the forest ecosystem parameters under different forest management regimes.
Grounded on the data lifecycle approach, this paper develops a Big Data architecture that properly integrates most of the non-traditional information sources and data analysis methods in order to provide a specifically designed system for forecasting social and economic behaviors, trends and changes.
This paper introduces a web-based tourism demand forecasting system (TDFS) that is designed to forecast the demand for Hong Kong tourism, as measured by tourist arrivals, total and sectoral tourist expenditures, and the demand for hotel rooms.
The simulation system has been setup and designed for flood forecasting in the alpine environment.
The tests have been conducted for 3 years using forecast skill parameters designed for rare event forecast; the probability of detection is about 98% and the Heidke score is around 80%.
