Results 131 to 140 of about 17,074 (218)

CLASSIFYING PLANTS’ HEALTH USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)

Proceedings in Cybernetics
The study classifi es eight types of plants’ diseases using an adaptive neuro-fuzzy inference system (ANFIS). Haralick texture features obtained from plants’ images are applied as input data for a system. A hybrid algorithm consisting of a backward propagation of error and a gradient descent performed the ANFIS training.
openaire   +1 more source

Evaluation of a new neutron energy spectrum unfolding code based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). [PDF]

J Radiat Res, 2018
Hosseini SA, Esmaili Paeen Afrakoti I.
europepmc   +1 more source

Forecasting Unemployment Rate Using a Neural Network with Fuzzy Inference System [PDF]

Greece is a low-productivity economy with an ineffective welfare state, relying almost exclusively on low wages and social transfers. Failure to come to terms with this reality hampers both the appropriateness of EU recommendations and the Greek ...
Camelia Ioana Ucenic, Christos Skiadas, George Atsalakis   +2 more
core  

Review of ANFIS (Adaptive Neuro-Fuzzy Inference Systems)

Περίληψη: Μη ...
openaire   +1 more source

COVID-19 Time-Varying Reproduction Number and its Prediction by Adaptive Neuro-Fuzzy Inference System (ANFIS)

, 2021
Riadi A, Nugroho YS, Nurwidya F.
europepmc   +1 more source

Design and development of a model for tennis elbow injury prediction and prevention using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) approaches. [PDF]

BMC Musculoskelet Disord
Patel H, Patel HK, Sharma A, Srivastava S.   +3 more
europepmc   +1 more source

Solid oxide fuel cell (SOFC) control strategy enhancement by adaptive neuro-fuzzy inference system (ANFIS). [PDF]

Sci Rep
Ramadan S, Al-Gabalaw M, El-Shimy M, Emarah A.   +3 more
europepmc   +1 more source

Solar Tracking System based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Afyon Kocatepe University Journal of Sciences and Engineering, 2017
Hayrettin Toylan, Engin Hüner
openaire   +1 more source

Optimization of adaptive neuro-fuzzy inference system (ANFIS) parameters via Box-Behnken experimental design approach: The prediction of chromium adsorption. [PDF]

Heliyon
Duranoğlu D, Sinan Altın E, Küçük İ.   +2 more
europepmc   +1 more source

Analysis and Prediction of COVID-19 Pandemic in Bangladesh by using Long short-term memory network (LSTM) and Adaptive neuro fuzzy inference system(ANFIS)

, 2020
Chowdhury AA, Hasan KT, Hoque KKS.
europepmc   +1 more source