Operational meteorology involves the application of accumulated human expertise. When developing intelligent systems for operational meteorologists, three aspects of forecasting should be considered, namely: forecasting relies on a variety of techniques; experts convey their knowledge with fuzzy terms; and data are often imprecise. No single artificial intelligence (AI) technique is best for al...

fuzzy controllers are being used in various control schemes. the aim of this work was adjusting hemodialysis machine parameters utilizing a fuzzy logic controller (flc) so that patient’s hemodynamic condition remains stable during hemodialysis treatment. for this purpose a comprehensive mathematical model of the arterial pressure response during hemodialysis, including hemodynamic, osmotic, and...

Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and effectively. In this paper both f i m y logic (FL) and subtractive clustering (SC) are used for the design of autonomous robot behaviours. The design procedure is conducted in two stages: first subtractive clustering is a...

The target of this paper is the performance-based diagnostics a gas turbine for automated early detection components malfunctions. proposes new combination multiple methodologies single and failures on two-spool engine. aim technique to combine strength each methodology provide high success rate with presence measurement A KF (Kalman Filter), ANN (Artificial Neural Network) FL (Fuzzy Logic) use...

An autonomous underwater vehicle (AUV) must move from a start point to target without colliding with other vehicles or obstacles execute various missions. Path planning is crucial function that causes AUVs find the shortest and safest path human intervention. This paper presents algorithm adopts safety distance keep as safe possible while avoiding collisions obstacles. The uses combination of f...

The thesis deals with some aspects of conventional, artificial neural network, Fuzzy logic and adaptive network fuzzy inference system (ANFIS) based dual input power system stabilizers for an interconnected power system. A linear dynamic model of a single machine-infinite bus (SMIB) system has been developed in state-space form considering governor, turbine, turbine-generator shaft and excitati...

As a result from the demanding of process safety, reliability and environmental constraints, a called of fault detection and diagnosis system become more and more important. This statement can be seen from literature covering different aspects and applications implementation. A variety of methods already proposed whether applied single or combined method. One of the feasible ways is by combinin...

Today, there is a large number of product providers in the Web. Electronic Marketplaces (EMs) enable entities to negotiate and trade products. Usually, intelligent agents assume the responsibility of representing buyers or sellers in EMs. However, uncertainty about the characteristics and intentions of the negotiating entities is present in these scenarios. Fuzzy Logic (FL) theory presents a lo...

Classic and intelligent techniques aim to locate track the maximum power point of photovoltaic (PV) systems, such as perturb observe (P&O), fuzzy logic (FL), artificial neural networks (ANNs), adaptive neuro-fuzzy inference systems (ANFISs). This paper proposes compares three algorithms for tracking (MPPT) control, specifically fuzzy, ANN, ANFIS. The modeling a single-diode equivalent circu...