today, stock investment has become an important mean of national finance. apparently, it is significant for investors to estimate the stock price and select the trading chance accurately in advance, which will bring high return to stockholders. in the past, long-term trading processes and many technical analysis methods for stock market were put forward. however, stock market is a nonlinear sys...

â  using of prediction models is one of the methods of financial performance prediction. financial ratios are employed as predictive variable in prediction models. the main purpose of this study is to compare the incremental information content of accrual and cash ratios for prediction and evaluation of the financial performance of business entities by data mining models. in align with research...

This paper presents a system to collect information through the cooperation of intelligent agent software, in addition to providing warnings after analysis to monitor and predict some possible error indications among controlled objects in the network. This technique derived from the ontology combining Ethereal and Cacti, which store the operating information of network management perfectly into...

Current workflow management systems still lack some important features, esp. intelligent failure handling mechanisms. This is due to the static and only implicitly defined meta model of these systems. We argue that intelligent failure handling needs semantically enriched workflow models. We, therefore, propose a meta level architecture for WFMSs providing an explicit and dynamic meta model. Thi...

guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of intelligent transportation systems (its). nowadays, many complex systems can be controlled by using multi agent systems. adaptation with the current condition is an important feature of the agents. in this research, formulation of dynamic guidance for vehicles has been investigated based...

Intelligent assistants on mobile devices, such as Siri, have recently gained considerable attention as novel applications of dialogue technologies. A tremendous amount of real users of intelligent assistants provide us with an opportunity to explore a novel task of predicting whether users will continually use their intelligent assistants in the future. We developed prediction models of prospec...

In this paper, the computationally intelligent modeling approach for fluidized bed combustion process is considered, as well as intelligent process control based on developed models and soft computing methodologies. Applied genetic optimization and fuzzy modeling approach are combined with proposed intelligent control strategies. Efficient fuzzy nonlinear FBC process modeling by combining sever...

Current workkow management systems still lack some important features, esp. intelligent failure handling mechanisms. This is due to the static and only implicitly deened meta model of these systems. We argue that intelligent failure handling needs semantically enriched workkow models. We, therefore, propose a meta level architecture for WFMSs providing an explicit and dynamic meta model. This c...

In order to build intelligent tutoring agents within games-based learning environments, practitioners must understand the three conceptual models used within Intelligent Tutoring Systems (ITS): the expert or domain model, the student model, and the instructional model. This paper investigates the inter-relationship between these models and how they combine to provide the expected behaviour of i...