Results 1 to 10 of about 40,966 (267)

V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery [PDF]

, 2015
Accurate and robust estimation of applied forces in Robotic-Assisted Minimally Invasive Surgery is a very challenging task. Many vision-based solutions attempt to estimate the force by measuring the surface deformation after contacting the surgical tool.
Alsaleh, Samar M., Avilés Rivero, Angélica Ivone, Casals Gelpi, Alicia, Montseny Masip, Eduard   +3 more
core   +3 more sources

Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models

Ain Shams Engineering Journal, 2022
Predicting crop yield is an important issue for farmers. Food security is important for decision-makers. The agriculture industry can more accurately supply human demand for food if the crop yield is predicted accurately.
Ommolbanin Bazrafshan, Mohammad Ehteram, Sarmad Dashti Latif, Yuk Feng Huang, Fang Yenn Teo, Ali Najah Ahmed, Ahmed El-Shafie   +6 more
doaj   +2 more sources

Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms

Ain Shams Engineering Journal, 2021
The infiltration process during irrigation is an essential variable for better water management and hence there is a need to develop an accurate model to estimate the amount infiltration water during irrigation.
Mohammad Ehteram, Fang Yenn Teo, Ali Najah Ahmed, Sarmad Dashti Latif, Yuk Feng Huang, Osama Abozweita, Nadhir Al-Ansari, Ahmed El-Shafie   +7 more
doaj   +2 more sources

Integration of the reptile search algorithm and the adaptive neuro-fuzzy inference system enhances standardized precipitation evapotranspiration index forecasting [PDF]

Scientific Reports
A novel metaheuristic algorithm called the reptile search algorithm (RSA) was introduced in conjunction with artificial neural fuzzy inference system (ANFIS) for the estimation of standardized precipitation evapotranspiration index (SPEI).
Zahra Kayhomayoon, Mohammad Javad Bahmani, Sami Ghordoyee Milan, Ommolbanin Bazrafshan, Ronny Berndtsson   +4 more
doaj   +2 more sources

A OPTIMIZATION TUNED ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR DAM DEFORMATION PREDICTION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
The performance and stability of Adaptive Neuro-Fuzzy Inference System (ANFIS) depend on its network structure and preset parameter selection, and Particle Swarm Optimization-ANFIS (PSO-ANFIS) easily falls into the local optimum and is imprecise. A novel
X. Y. Zhang, X. Y. Zhang, B. Wei, B. Wei
doaj   +1 more source

Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model

Energy Reports, 2021
Accurate solar radiation (SR) prediction is one of the essential prerequisites of harvesting solar energy. The current study proposed a novel intelligence model through hybridization of Adaptive Neuro-Fuzzy Inference System (ANFIS) with two metaheuristic
Hai Tao, Ahmed A. Ewees, Ali Omran Al-Sulttani, Ufuk Beyaztas, Mohammed Majeed Hameed, Sinan Q. Salih, Asaad M. Armanuos, Nadhir Al-Ansari, Cyril Voyant, Shamsuddin Shahid, Zaher Mundher Yaseen   +10 more
doaj   +1 more source

Modified aquila optimizer for forecasting oil production

Geo-spatial Information Science, 2022
Oil production estimation plays a critical role in economic plans for local governments and organizations. Therefore, many studies applied different Artificial Intelligence (AI) based methods to estimate oil production in different countries.
Mohammed A. A. Al-qaness, Ahmed A. Ewees, Hong Fan, Ayman Mutahar AlRassas, Mohamed Abd Elaziz   +4 more
doaj   +1 more source

Soil moisture estimation using novel bio-inspired soft computing approaches

Engineering Applications of Computational Fluid Mechanics, 2022
Soil moisture (SM) is of paramount importance in irrigation scheduling, infiltration, runoff, and agricultural drought monitoring. This work aimed at evaluating the performance of the classical ANFIS (Adaptive Neuro-Fuzzy Inference System) model as well ...
Roozbeh Moazenzadeh, Babak Mohammadi, Mir Jafar Sadegh Safari, Kwok-wing Chau   +3 more
doaj   +1 more source

Biomass higher heating value prediction analysis by ANFIS, PSO-ANFIS and GA-ANFIS models [PDF]

Global NEST Journal, 2018
<p>In this study, a new model for biomass higher heating value (HHV) prediction based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) approach was proposed. Proximate analysis (volatile matter, fixed carbon and ash content) data for a wide range of various biomass types from the literature were used as input in model studies. Optimization of
Ceylan, Z., Pekel, E., Ceylan, S., Bulkan, S.   +3 more
openaire   +2 more sources

Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability. [PDF]

PLoS ONE, 2018
In this paper, the suitability and performance of ANFIS (adaptive neuro-fuzzy inference system), ANFIS-PSO (particle swarm optimization), ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) has been investigated for the prediction of ...
Monowar Hossain, Saad Mekhilef, Firdaus Afifi, Laith M Halabi, Lanre Olatomiwa, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski   +7 more
doaj   +1 more source