صلاخلا ــ ة : مت ةقرولا هذه يف ءاشنإ يف هدعاسملل مدقتم ماظن بناوج ذيفنتو ميمصت ضرع قتو و مي ءادأ حيحصت تارفش لأا ءاطخ ةليلق لا ةناتم ، ةينبم ىلع ءوفاكتلا رايتخا . موقي امه نيتيسيئر نيتفيظوب ةساردلا هذه يف مدقتملا ماظنلا : 1 ادأ باسحل ةيزاوتملا هاآاحملا ء تارفش حيحصت لأا ءاطخ ةليلق نمزب ةفاثكلا ادج ريصق ةنراقم ةمظنأب ةاآاحملا ةدوجوملا . 2 ةليلق ءاطخلأا حيحصت تارفشو فعضلا قطانم صحف نع ة...

The quantification and prediction of inter-agent dependency requirements is one of the main concerns in Agent Oriented Requirements Engineering. To evaluate exertion load of an agent within resource constraints, this work provides a comparative analysis of Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN). ANN is widely known due to its capability of learning the...

-Now a day we have various types of intelligent computing tools such as artificial neural network (ANN) and fuzzy logic approaches are proving to be skillful when applied to a different kind of problems. This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) model for classification of electrocardiogram (ECG) signals. here we applied tool for detecting the two dif...

This paper proposes an approach to tune an Adaptive Neuro Fuzzy Inference System (ANFIS) inverse controller using Iterative Learning Control (ILC). The control scheme consists of an ANFIS inverse model and learning control law. Direct ANFIS inverse controller may not guarantee satisfactory response due to different uncertainties associated with operating conditions and noisy training data. In t...

This paper presents a rotor position estimation technique for a 6/4 switched reluctance machine based on Adaptive Neuro fuzzy Inference System (ANFIS). This technique is applied for modelling the nonlinear rotor position of SRM using the magnetization characteristics of the machine. ANFIS has a strong nonlinear approximation ability which could be used for nonlinear modelling and its real time ...