Results 11 to 20 of about 15,321 (232)

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   +3 more sources

ANFIS Control Double-Inverted Pendulum

Chemical Engineering Transactions, 2015
For double inverted pendulum multivariable, strong coupling and nonlinear proposed adaptive fuzzy neural inference system (ANFIS) is applied inverted pendulum stabilization control process. Adaptive control algorithm, fully able to meet the requirements of double inverted pendulum control, ANFIS system after training, will be applied to the inverted ...
Shen, Peng
openaire   +4 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

Evaluation of ANFIS and ANFIS-PSO Models for Estimating Hydraulic Jump Characteristics

Journal of Water and Soil Science, 2022
In this study accuracy of the ANFIS and ANFIS-PSO models to estimate hydraulic jump characteristics including sequence depth ratio, the jump length, the roller length ratio, and relative energy loss was evaluated in stilling basin versus laboratory results.
N. Pourabdollah, J. Abedi Koupai, M. Heidarpour, M. Akbari   +3 more
openaire   +3 more sources

Improving Significant Wave Height Prediction Using a Neuro-Fuzzy Approach and Marine Predators Algorithm

Journal of Marine Science and Engineering, 2023
This study investigates the ability of a new hybrid neuro-fuzzy model by combining the neuro-fuzzy (ANFIS) approach with the marine predators’ algorithm (MPA) in predicting short-term (from 1 h ahead to 1 day ahead) significant wave heights.
Rana Muhammad Adnan Ikram, Xinyi Cao, Tayeb Sadeghifar, Alban Kuriqi, Ozgur Kisi, Shamsuddin Shahid   +5 more
doaj   +1 more source

Drought Prediction Using Compatible Adaptive Neuro Fuzzy Inference System with the Ant Colony Optimization Algorithm in Zabol Watershed [PDF]

پژوهش‌های آبخیزداری, 2023
Introduction and Objective The use of simulations combined with the drought index enhances forecast accuracy. The exploratory approach provides the scope for drought warning and the opportunity for financial support and insurance mechanisms for local ...
Payam Ebrahimi
doaj   +1 more source

Dissolved oxygen modelling of the Yamuna River using different ANFIS models

Water Science and Technology, 2021
Dissolved oxygen (DO) is one of the prime parameters for assessing the water quality of any stream. Thus, the accurate estimation of DO is necessary to evolve measures for maintaining the riverine ecosystem and designing appropriate water quality ...
Sameer Arora, Ashok K. Keshari
doaj   +1 more source