Results 1 to 10 of about 15,321 (232)

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   +1 more source

Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model

IEEE Access, 2020
An enhanced hybrid artificial intelligence model was developed for soil temperature (ST) prediction. Among several soil characteristics, soil temperature is one of the essential elements impacting the biological, physical and chemical processes of the ...
Liu Penghui, Ahmed A. Ewees, Beste Hamiye Beyaztas, Chongchong Qi, Sinan Q. Salih, Nadhir Al-Ansari, Suraj Kumar Bhagat, Zaher Mundher Yaseen, Vijay P. Singh   +8 more
doaj   +1 more source

Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea

Ain Shams Engineering Journal, 2023
Cation exchange capacity (CEC) has a key role in soil studies such as agriculture, energy balance, characteristics of the soil for food, maintaining water in the soil as well as soil pollution management.
Samad Emamgholizadeh, Ahmad Bazoobandi, Babak Mohammadi, Hadi Ghorbani, Mohammad Amel Sadeghi   +4 more
doaj   +1 more source

Predicting Australia’s Domestic Airline Passenger Demand using an Anfis Approach

Transport and Telecommunication, 2022
The forecasting of future airline passenger demand is critical task for airline management. The objective of the present study was to develop an adaptive neuro-fuzzy inference system (ANFIS) for predicting Australia’s domestic airline passenger demand ...
Srisaeng Panarat, Baxter Glenn
doaj   +1 more source

Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater resources

Heliyon, 2023
The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the strengths of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) into a single framework.
Naghmeh Jafarzade, Ozgur Kisi, Mahmood Yousefi, Mansour Baziar, Vahide Oskoei, Nilufar Marufi, Ali Akbar Mohammadi   +6 more
doaj   +1 more source

Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods

Applied Water Science, 2019
In natural rivers and artificial channels in addition to the channel dimensions (widening, reduction in slope and depth in the channel banks), formed shape profile in the case that the sediment on the banks with no movement (thresholds state) is of ...
Azadeh Gholami, Hossein Bonakdari, Isa Ebtehaj, Seyed Hamed Ashraf Talesh, Saeed Reza Khodashenas, Ali Jamali   +5 more
doaj   +1 more source

Performance Evaluation of ANFIS and GA-ANFIS for Predicting Stock Market Indices

International Journal of Economics and Finance, 2021
A model of Adaptive Neuro-Fuzzy Inference System (ANFIS) trained with an evolutionary algorithm, namely Genetic Algorithm (GA) is presented in this paper. Further, the model is tested on the NASDAQ stock market indices which is among the most widely followed indices in the United States.
Farnaz Ghashami, Kamyar Kamyar
openaire   +2 more sources

Adaptive neuro-fuzzy inference system for temperature and humidity profile retrieval from microwave radiometer observations [PDF]

Atmospheric Measurement Techniques, 2015
The retrieval of accurate profiles of temperature and water vapour is important for the study of atmospheric convection. Recent development in computational techniques motivated us to use adaptive techniques in the retrieval algorithms.
K. Ramesh, A. P. Kesarkar, J. Bhate, M. Venkat Ratnam, A. Jayaraman   +4 more
doaj   +1 more source

Optimization of ANFIS Model using Genetic Algorithm for Estimation of Scour Depth around Bridge Abutments

علوم آب و خاک, 2021
Optimization of artificial intelligence (AI) models is a significant issue because it enhances the performance and flexibility of the numerical models.
E. Yarmohammadi, S. Shabanlou, A. Rajabi
doaj  

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

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