Prediction of network public opinion is a complicated prediction featuring poor information, small samples and uncertainty. A prediction model of network public opinion based on grey support vector machine (SVM) is specified to increase prediction accuracy. First, network data are preprocessed by text clustering, hotpot extraction and data aggregation. Then a time series model GM(1,1) is establ...

Based on detailed analysis of computational principles of the grey relational analysis method and a series of the relevant researches, this paper proposes a web service selection method based on Grey Relational Analysis to improve the shortcomings caused by personal assignment, so as to improve the usability of the algorithm and reduce the limitation of service selection. At the same time, this...

In this study, it was surveyed to know whether an oral single dose of oleuropein could mimic the cardiac preconditioning in rats’ hearts or whether its prolonged oral administration could protect the heart against the aconitine-induced arrhythmia in rats. Eighty male Wistar rats were divided into two series (n = 8 in each group). In the first series, all groups (except the control (Con) group) ...

water quality is a worldwide problem which affects human beings lives fundamentally. water scarcity is intensified in result of quality deterioration. different factors such as population increase, economic development and water pollution could be considered as the origins of the problem. the study and forecasting of water quality is necessary to prevent serious water quality deteriorations in ...

this paper presents the prediction of vehicle's velocity time series using neural networks. for this purpose, driving data is firstly collected in real world traffic conditions in the city of tehran using advance vehicle location devices installed on private cars. a multi-layer perceptron network is then designed for driving time series forecasting. in addition, the results of this study a...

Power system reliability and continuous electric power supply without downtimes or with a few as shorter as possible interruptions are basic for financial success in today's power market (EN50160). So, modern customer oriented relationships and efficient electricity service have to be included in nowadays power system management. Reliability and availability are concept very close to electric p...

The analysis of time series is a central issue in economic research and many other scientific applications. However, the data management functionality for this field is not provided by general-purpose DBMSs. Therefore, we propose a data model of a specialized Time Series Management System (TSMS) which accounts for these needs. The model is centered around an object-oriented kernel that offers t...

Graphical presentation of long time series signals is challenging because the resolution of a computer screen in pixels is usually smaller than the length of the signal in points. However, visualizing signals at a glance is highly important because analysing data in graphical form can be much more productive than it is in numerical or written form. Visualization of complete signals is possible ...

In this paper, a hybrid swarm system is presented for time series forecasting. It consists of an intelligent hybrid model composed of an Arti cial Neural Network (ANN) and a Particle Swarm Optimizer (PSO), which search the relevant time lags for a correct characterization of the time series, as well as the number of processing units in the hidden layer, the training algorithm and the modeling o...

The paper is focused on the analysis and design of multivariate time series prediction systems. It addresses mainly practical issues, the main contribution is the developed and implemented conceptual predictive methodology. It is based on designed data management structures that define basic data flow. Despite the fact that the methodology is inspired by problems common for utility companies th...