صخلملا Seasonal variation of zooplankton biomass has been carried out at two selected sites on Greater Zab River. Monthly samples of water were collected during period from January to December 2008. Some physico-chemical properties of water were studied including water temperature (from 8 to 30.5 C), hydrogen ion concentration (from 6.3 to 8), EC (from 255 to 821 μs.cm), turbidity (1085 NTU), d...

خلا صلا ـ ة : عون نم يفيكتلا ةانقلا ردقم ءادلأ اًضرع ثحبلا اذه مدقي LMS ةيئاضفلا ةرفشملا تاعومجملا مظن يف نييئاوه مدختست يتلا ةينمزلا لإل اسر ل لابقتسلال اًدحاو اًيئاوهو . و ةانق يه ةمدختسملا ةيكلسلالا ةانقلا Rayleigh ءاضوضلا دوجوب ىسواجلا (Gaussian) يمجتلا جارخلاا يف يع . و حضوت ثحبلا جئاتن إ دحاو لماعم يذ ةانق ردقم مادختساب زاحنم ريغ ريدقت ىلع لوصحلا ةيناكم ) يراسم نم لكل لإا ةراش .( و وحن ةيف...

The application of the neuro-fuzzy inference system to predict the compressive strength of concrete is presented in this study. The adaptive neuro-fuzzy inference system (ANFIS) is introduced for training and testing the data sets consisting of various parameters. To investigate the influence of various parameters which affect the compressive strength, 1551 data pairs are collected from the tec...

This paper deals with the application of artificial neural network (ANN) and fuzzy based Adaptive Neuro Fuzzy Inference System(ANFIS) approach to Load Frequency Control (LFC) of multi unequal area hydro-thermal interconnected power system. The proposed ANFIS controller combines the advantages of fuzzy controller as well as quick response and adaptability nature of ANN. Area-1 and area-2 consist...

In this work we study the effect of some electrical prosperities on synthetic rubber reinforced with carbon black diluted in heptanes with concentrations from 0.2% gm/mole to 2.0% gm/ mole in temperatures range (100, 150, 200, 250, 300) C associated with amount weight of black carbon 5wt% added to the diluted rubber. The results of electrical properties measurement of Buna rubber reinforced wit...

The presented control scheme utilizes Adaptive Neuro Fuzzy Inference System (ANFIS) controller to track a reference engine rotational speed and disturbance rejection during engine idling. To evaluate the performance of the controller a model of the engine is simulated and simulation results presented. ANFIS implements a first order Sugeno-style fuzzy system. It is a method for tuning an existin...

This paper presents an adaptive neural fuzzy inference system (ANFIS) approach to predict the location, occurrence time and the magnitude of earthquakes. The analysis conducted in this paper is based on the principle of conservation of energy and momentum of annual earthquakes which has been validated by analyzing data obtained from United Sates Geographical Survey (USGS). This principle shall ...