E-learning implementation is growing alongside the e-learning market’s growth. As a result, competing models and approaches were proposed to improve learner performance; one of these systems success model. In order expand this model, an analysis published frameworks in period 2017–2022 was conducted using aggregative review method. 37 studies that match current study interests have been selecte...

artificial immune systems (ais) can be defined as soft computing systems inspired by immune system of vertebrates. immune system is an adaptive pattern recognition system. ais have been used in pattern recognition, machine learning, optimization and clustering. feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...

This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. The contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...