This paper presents an proportional integral (PI) based voltage-reactive power control for wind diesel based decentralized hybrid power system with wide range of disturbances to demonstrate the compensation effect on system with intelligent tuning methods such as genetic algorithm (GA), artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS). The effect of probabilisti...

همدقم : نیئتورپ S100B ورون طابترا لرتنک رد و دوش یم دازآ اه تیسورتسآ زا هک تسا ینیئتورپ ، لگ ی یلا دراد شـقن یسپانیس يریذپ لکش و هظفاح رد لاامتحا و . هـعلاطم ادروخرب یصاخ تیمها زا نورون و تیسورتسآ لولس ود يدرکلمع طابترا تسا ر . ياـه شوـم رد يریگداـی يور رـب پـماکوپیه نورد هـب نیئتورـپ نیا قیرزت رثا رضاح هعلاطم رد تفرگ رارق یسررب دروم ییارحص . شور اه : زا قیقحت نیا رد 40 دش هدافتسا رن ییا...

In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e. (PSO-ANFIS) are proposed for modeling and prediction of the propylene/propane adsorption under various conditions. Using these computational intelligence (CI) approaches, the input parameters such as adsorbent shape (S<su...

in this study greenhouse tomato production was investigated from energy consumption and greenhouse gas (ghg) emission point of views. moreover, artificial neural networks (anns) and adaptive neuro-fuzzy inference systems (anfis) were employed to model energy consumption for greenhouse tomato production. total energy input and output were calculated as 1316.14 and 281.1 gj/ha. among the all ener...

This study investigates the oil extraction from Pistacia Khinjuk by the application of enzyme.Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) were applied formodeling and prediction of oil extraction yield. 16 data points were collected and the ANN was trained with onehidden layer using various numbers of neurons. A two-layered ANN provides the best results, us...

The investigation of the effects of cracks or similar weaknesses on the load carrying capacity of structural elements such as columns, beams and shells is an important problem in civil, mechanical, earthquake and aerospace engineering. In this paper, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)model have been successfully used for the buckling analysis of sl...

Detection and segmentation of Brain tumor is very important because it provides anatomical information of normal and abnormal tissues which helps in treatment planning and patient follow-up. There are number of techniques for image segmentation. Proposed research work uses ANFIS (Artificial Neural Network Fuzzy Inference System) for image classification and then compares the results with FCM (F...

this study investigates the oil extraction from pistacia khinjuk by the application of enzyme.artificial neural network (ann) and adaptive neuro fuzzy inference system (anfis) were applied formodeling and prediction of oil extraction yield. 16 data points were collected and the ann was trained with onehidden layer using various numbers of neurons. a two-layered ann provides the best results, us...