FUZZY LOGIC IN CREATING ADAPTIVE INTELLIGENT LEARNING
نویسندگان
چکیده
منابع مشابه
An Adaptive Learning Game for Autistic Children using Reinforcement Learning and Fuzzy Logic
This paper, presents an adapted serious game for rating social ability in children with autism spectrum disorder (ASD). The required measurements are obtained by challenges of the proposed serious game. The proposed serious game uses reinforcement learning concepts for being adaptive. It is based on fuzzy logic to evaluate the social ability level of the children with ASD. The game adapts itsel...
متن کاملType-2 fuzzy logic based systems for adaptive learning and teaching within intelligent e-learning environments
The recent years have witnessed an increased interest in e-learning platforms that incorporate adaptive learning and teaching systems that enable the creation of adaptive learning environments to suit individual student needs. The efficiency of these adaptive educational systems relies on the methodology used to accurately gather and examine information pertaining to the characteristics and nee...
متن کاملLearning and Generalization in Adaptive Fuzzy Logic Networks
We introduce the adaptive fuzzy logic network (AFLN) as the appropriate architecture for the realization of fuzzy membership and fuzzy logic functions. The according AFLN to a given training set is easily constructed and optimized. As their main advantage AFLNs provide for a very eecient sequential implementation of fuzzy systems. This eeciency is achieved by lazy evaluation and the application...
متن کاملAdaptive Fuzzy Logic Controller
This paper describes background and design of a model free adaptive Fuzzy Logic Controller. Controller Error Scaling Factor adaptation uses principle of balancing Error and Change of Error actions. Adaptation proceeds only if prescribed set of conditions is satisfied. Controller Scaling Factor for Change of Output adaptation uses weighted average of correction from oscillation index and process...
متن کاملAdaptive Cooperative Fuzzy Logic Controller
Fuzzy logic is a natural basis for modelling and solving problems involving imprecise knowledge and continuous systems. Unfortunately, fuzzy logic systems are invariably static (once created they do not change) and subjective (the creator imparts their beliefs on the system). In this paper we address the question of whether systems based on fuzzy logic can effectively adapt themselves to dynami...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: InterConf
سال: 2021
ISSN: 2709-4685
DOI: 10.51582/interconf.19-20.02.2021.023