Results 181 to 190 of about 30,817 (217)

Application of adaptive neuro-fuzzy inference systems (ANFIS) to delineate estradiol, glutathione and homocysteine interactions

Clinical Nutrition ESPEN, 2017
The rationale of the current study was to elucidate the contributing factors for the gender-based differences in total plasma homocysteine levels. A total of 413 subjects comprising of 293 men and 120 women were enrolled for the study. Chemiluminescence technology for vitamin B12, folate and total plasma homocysteine; ELISA for estradiol and 8-oxo-2 ...
Iyyapu Krishna Mohan, Siraj Ahmed Khan, Rachel Jacob, Nooguri Sushma Chander, Tajamul Hussain, Salman A. Alrokayan, Akella Radha Rama Devi, Shaik Mohammad Naushad   +7 more
openaire   +2 more sources

Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS)

, 2020
M. Shariati, M. S. Mafipour, James H. Haido, S. Yousif, Ali Toghroli, N. Trung, A. Shariati   +6 more
semanticscholar   +1 more source

Adaptive neuro fuzzy inference system (anfis) applications in chemical processes

2020
152
openaire   +1 more source

Short-term building electrical load forecasting using adaptive Neuro-Fuzzy Inference System (ANFIS)

Journal of Building Engineering, 2022
C. Ghenai, Omar Ahmed Abduljabbar Al-Mufti, Omar Adil Mashkoor Al-Isawi, Lutfi Hatem Lutfi Amirah, A. Merabet   +4 more
semanticscholar   +1 more source

Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel

Environmental Monitoring & Assessment, 2020
Yong Jie Wong, S. Arumugasamy, C. Chung, A. Selvarajoo, V. Sethu   +4 more
semanticscholar   +1 more source

Adaptive Neuro-fuzzy Inference System (ANFIS) Modelling in Energy System and Water Resources

2019
Adaptive neuro-fuzzy inference system (ANFIS) has gained prominence in solving engineering problems over the past two decades. It has incredible ability to generalize for complex non-linear systems efficiently when used alone and more when trained with a hybrid technique. However, less is known about its strengths and peculiarities for effective use in
P. A. Adedeji, S. O. Masebinu, S. A. Akinlabi, N. Madushele   +3 more
openaire   +1 more source

Short-term air temperature prediction by adaptive neuro-fuzzy inference system (ANFIS) and long short-term memory (LSTM) network

Meteorology and atmospheric physics (Print), 2021
A. Şekertekin, M. Bilgili, N. Arslan, A. Yıldırım, K. Celebi, A. Ozbek   +5 more
semanticscholar   +1 more source

Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)

Environmental Earth Sciences, 2016
Iman Nasiri Aghdam, Mohammad Hossein Morshed Varzandeh, B. Pradhan   +2 more
semanticscholar   +1 more source

Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling

, 2017
Wei Chen, M. Panahi, H. Pourghasemi
semanticscholar   +1 more source

An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data

European Journal of Operational Research, 2012
S. Akkoç
semanticscholar   +1 more source