Results 11 to 20 of about 55,481 (267)

Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS [PDF]

open access: yesAgriculture, 2021
Advancing models for accurate estimation of food production is essential for policymaking and managing national plans of action for food security. This research proposes two machine learning models for the prediction of food production.
Saeed Nosratabadi   +4 more
semanticscholar   +1 more source

AI different approaches and ANFIS data mining: A novel approach to predicting early employment readiness in middle eastern nations

open access: yesInternational Journal of Data and Network Science, 2023
The use of data mining to predict early employment readiness of students is gaining importance due to the expansion of data production in various industries.
Mohamed Alkashami   +5 more
semanticscholar   +1 more source

Comparative analysis of RSM, ANN and ANFIS and the mechanistic modeling in eriochrome black-T dye adsorption using modified clay

open access: yesSouth African Journal of Chemical Engineering, 2021
The application of artificial neural network (ANN), response surface methodology (RSM), and adaptive neuro-fuzzy inference system (ANFIS) in modeling the uptake of Eriochrome black-T (EBT) dye from aqueous solution using Nteje clay was the focus of this ...
C. Onu, J. Nwabanne, P. Ohale, C. Asadu
semanticscholar   +1 more source

Modeling and control of a photovoltaic-wind hybrid microgrid system using GA-ANFIS.

open access: yesHeliyon, 2023
This paper aims to model a PV-Wind hybrid microgrid that incorporates a Battery Energy Storage System (BESS) and design a Genetic Algorithm-Adaptive Neuro-Fuzzy Inference System (GA-ANFIS) controller to regulate its voltage amid power generation ...
Linus A. Aloo   +3 more
semanticscholar   +1 more source

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

open access: yesGeoscience Frontiers, 2021
As threats of landslide hazards have become gradually more severe in recent decades, studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.
Wei Chen   +5 more
semanticscholar   +1 more source

Predictive Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Artificial Intelligence Approaches: MLPNN, ANFIS, and GEP

open access: yesMaterials, 2021
Silica fume (SF) is a mineral additive that is widely used in the construction industry when producing sustainable concrete. The integration of SF in concrete as a partial replacement for cement has several evident benefits, including reduced CO2 ...
Afnan Nafees   +7 more
semanticscholar   +1 more source

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies [PDF]

open access: yesBiomedical Signal Processing and Control, 2021
Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients.
A. Shoeibi   +9 more
semanticscholar   +1 more source

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

open access: yesAin 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   +6 more
doaj   +1 more source

Modeling air pollution by integrating ANFIS and metaheuristic algorithms

open access: yesModeling Earth Systems and Environment, 2022
Air pollution is increasing for many reasons, such as the crowding of cities, the failure of planning to consider the benefit of society and nature, and the non-implementation of environmental legislation.
Aynur Yonar, H. Yonar
semanticscholar   +1 more source

Optimized ANFIS Model Using Aquila Optimizer for Oil Production Forecasting

open access: yesProcesses, 2021
Oil production forecasting is one of the essential processes for organizations and governments to make necessary economic plans. This paper proposes a novel hybrid intelligence time series model to forecast oil production from two different oil fields in
A. AlRassas   +6 more
semanticscholar   +1 more source

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