This paper surveys neuro fuzzy systems (NFS) development using classification and
literature review of articles for the last decade (2002–2012) to explore how various NFS …

Adaptive neuro-fuzzy inference system (ANFIS) is efficient estimation model not only among
neuro-fuzzy systems but also various other machine learning techniques. Despite …

In this paper, we presented the architecture and basic learning process underlying ANFIS
(adaptive-network-based fuzzy inference system) which is a fuzzy inference system …

The objective of this study is to investigate a potential application of the Adaptive Neuro-
Fuzzy Inference System (ANFIS) and the Geographic Information System (GIS) as a …

Recommender systems have emerged in the e-commerce domain and are developed to
actively recommend the right items to online users. Traditional Collaborative Filtering (CF) …

El objetivo de este artículo es predecir el rendimiento académico de estudiantes de
educación superior, a partir de diversos factores influyentes usando técnicas de inteligencia …

Simple Summary Timely and accurate detection of cardiovascular diseases is critical to
reduce the risk of myocardial infarction. This article proposes a methodology using machine …

In this paper, a new method for handling the Multi-Input Multi-Output Student Academic
Performance Prediction (MIMO SAPP) problem is proposed. The MIMO SAPP aims to predict …

The spread of Covid-19 misinformation on social media had significant real-world
consequences, and it raised fears among internet users since the pandemic has begun …

Predicting students' learning outcomes is one of the main topics of interest in the area of
Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning …