Results 141 to 150 of about 3,578 (185)

Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm. [PDF]

PeerJ Comput Sci
Yang D, Arshad Malik MS.
europepmc   +1 more source

Predicting Pregnant Women's Abortion: Artificial Neural Network, Wavelet Neural Network and Adaptive Neural Fuzzy Inference System. [PDF]

Adv Biomed Res
Hashemian AH, Mahaki B, Rezaei M, Solouki L, Sohrabi Cheqabaleki MA, Sohrabi Cheqabaleki S.   +5 more
europepmc   +1 more source

Synergistic comparison of ANN and ANFIS predictive modeling with experimental electrochemical performance data in CO₂ conversion. [PDF]

Sci Rep
Deepati AK, Swapna Sri MN, Peyyala A, Veeranjaneyulu I, Rajulapati A, Pydi HP, Revathi S, Ramya M.   +7 more
europepmc   +1 more source

Adaptive neuro-fuzzy inference system optimization of natural rubber latex modified concrete's mechanical Properties. [PDF]

Sci Rep
Nyah EE, Onwuka DO, Arimanwa JI, Alaneme GU, Nakkeeran G, Onwuka US, Okere CE.   +6 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Control of Trms using Adaptive Neuro Fuzzy Inference System (ANFIS)

2020 International Conference on System, Computation, Automation and Networking (ICSCAN), 2020
This paper gives approach about the designing of ANFIS controller to control a TRMS to track the desired trajectory and make the system stable. The stages of development of a two input ANFIS model were presented. It shows the designing of controller is easy and it reduces the time and memory.
K. Kalyani, S. Kanagalakshmi
openaire   +1 more source

Adaptive Neuro Fuzzy Inference System (ANFIS) based wildfire risk assessment

Journal of Experimental & Theoretical Artificial Intelligence, 2019
ABSTRACTWildfires are extremely destructive disasters that cause significant loss of lives, forest cover and wildlife. This is due to their uncontrolled, erratic, rapid spread and behaviour. The incidence of wildfires is expected to increase worldwide because of Global Warming.
Harkiran Kaur, Sandeep K. Sood
openaire   +1 more source

MI-ANFIS: A multiple instance Adaptive Neuro-Fuzzy Inference System

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
We introduce a novel adaptive neuro-fuzzy architecture based on the framework of Multiple Instance Fuzzy Inference. The new architecture called Multiple Instance-ANFIS (MI-ANFIS), is an extension of the standard Adaptive Neuro Fuzzy Inference System (ANFIS) [1] that is designed to handle reasoning with multiple instances (bags of instances) as input ...
Amine B. Khalifa, Hichem Frigui
openaire   +1 more source

Prediction of Diabetes using Adaptive Neuro Fuzzy Inference System (ANFIS)

Asian Journal of Research in Social Sciences and Humanities, 2016
In this work a systematic architecture and procedure of Adaptive Neuro Fuzzy Inference System (ANFIS) is presented for data mining classification model to predict the Pima diabetes dataset and compare the model errors with Artificial Neural Network (ANN) model.
B. Thanga Parvathi, S. Mercy Shalinie
openaire   +1 more source

Vehicle Classification Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

2014
Accurate vehicle classification and traffic composition data are an important traffic performance measures which are used in many transportation applications. In this paper, an attempt is made to develop a model to classify the vehicles into five categories: light commercial vehicle, car/jeep/van, two-axle truck/bus, three-axle truck, and multi-axle ...
Akhilesh Kumar Maurya, Devesh Kumar Patel   +1 more
openaire   +1 more source