Results 131 to 140 of about 8,169 (234)

Prediction of the penetration rate of tbm using adaptive neuro fuzzy inference system (ANFIS)

, 2012
Rate of penetration of Tunnel Boring Machines (TBM) has a significant role in the planning, measurement of productivity and performance of any tunneling project.
Hosseini, Navid, Oraee, K., Oraee, Kazem, Hosseini, N., Khorami, M Tayebi, Khorami, M. T.   +5 more
core  

Diagnosis of Hepatitis using Adaptive Neuro-Fuzzy Inference System (ANFIS)

International Journal of Computer Applications, 2018
Kasali Funmilayo, Omotosho Olawale, Rahmon Ibrahim   +2 more
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

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

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

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

Ocena dryfu morskiego z wykorzystaniem systemu ANFIS [Adaptive Neuro-Fuzzy Inference System]

, 2010
The amount of sand moving parallel to a coastline forms a prerequisite for many harbor design projects. Such information is currently obtained through various empirical formulae.
Sabet, H.S., Naseri, M.A., Sabet, M S
core  

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