Titlebook: Intelligent Systems Design and Applications; Ajith Abraham,Katrin Franke,Mario Köppen Conference proceedings 2003 Springer-Verlag Berlin H

胶状

Steven Ballta and provide interesting informations about possible strategies. It seems that a possible application for decision aids can be an interactive system displaying several charts to the ship officer, each chart being based on given assumptions about the opponent. As our modelling allows a “real-time”

白杨鱼

哄骗

Parag C. Prasad,Subramani Arunkumarta and provide interesting informations about possible strategies. It seems that a possible application for decision aids can be an interactive system displaying several charts to the ship officer, each chart being based on given assumptions about the opponent. As our modelling allows a “real-time”

先锋派

Diastole

Exact Approximations for Rough Setssense that the classical definitions can be deduced from them if we put some restrictions on our model. The process of generating logic rules based on the exact approximations is considered. We also introduce an algebraic definition of a local reduct (a minimal set of predicates describing a rough set) for any subset of the universe.

裹住

生锈

Neural Network Predictive Control Applied to Power System Stabilityies to improve the stability of an electric power grid when used in place of traditional control systems, i.e. PID type controllers. Testing is done using simulation of the dynamical system with the different control schemes implemented, resulting in a measure of stability through which the controllers can be justified.

没有希望

Conference proceedings 2003ust 2003. The conference program committee has organized an exciting and invigorating program comprising pres­ entations from distinguished experts in the field, and important and wide-ranging contributions on state-of-the-art research that provide new insights into ‘Current Innovations in Intellige

ELUC

Weather Forecasting Models Using Ensembles of Neural Networkssest to the actual values. Performance and reliabilities of the models were then evaluated by a number of statistical measures. The results indicate that the HFM was relatively less accurate for the weather forecasting problem. In comparison, the ensembles of neural networks and RBFN produced the most accurate forecasts.

意外

An Adaptive Platform Based Multi-Agents for Architecting Dependabilityme scenarios addressing dependability at architectural level are outlined. In this paper, we discuss the importance of our approach and its benefits for architecting dependable systems and how it supports the improvement of dependability and performance of complex systems.