Results 91 to 100 of about 55,481 (267)

Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms

Infrastructures, 2021
The majority of natural ground vibrations are caused by the release of strain energy accumulated in the rock strata. The strain reacts to the formation of crack patterns and rock stratum failure. Rock strain prediction is one of the significant works for
T. Pradeep, A. Bardhan, A. Burman, Pijush Samui   +3 more
semanticscholar   +1 more source

Cost estimation using ANFIS

The Engineering Economist, 2016
ABSTRACTCost function estimation is vital for decision-making in project management. In this article, a novel cost estimator is investigated based on an adaptive neuro-fuzzy inference system (ANFIS). In the numerical studies, ANFIS is tested to modeling pressure vessel cost as a case study.
Ehsan Lotfi, M. Darini, M. R. Karimi-T.
openaire   +2 more sources

The Integration of AI, Blockchain and IoT for the Sustainable Development of the Logistics Service Industry: Insights From a PRISMA‐Based Analysis

Sustainable Development, EarlyView.
ABSTRACT This study presents an analysis of the literature on artificial intelligence (AI), blockchain and internet of things (IoT) for the sustainable development of the service industry of freight transport and logistics service providers (LSPs).
Roberto Cerchione, Renato Passaro, Matteo Tavano   +2 more
wiley   +1 more source

Adaptive Neuro-fuzzy Inference System and Artificial Neural Network Estimation of Apparent Viscosity of Ice-cream Mixes Stabilized with Different Concentrations of Xanthan Gum

Applied Rheology, 2012
An adaptive neuro-fuzzy inference system (ANFIS) was used to accurately model the effect of gum concentration (GC) and shear rate (SR) on the apparent viscosity (h) of the ice-cream mixes stabilized with different concentrations of xanthan gum.
Toker Ömer Said, Yilmaz Mustafa Tahsin, Karaman Safa, Doǧan Mahmut, Kayacier Ahmed   +4 more
doaj   +1 more source

Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]

, 2019
Universiti Tun Hussein Onn Malaysia (UTHM) is a developing Malaysian Technical University. There is a great development of UTHM since its formation in 1993.
K.G., Tay, Muwafaq, Hassan, W. K., Tiong, Y. Y., Choy   +3 more
core   +1 more source

Computational intelligence model for predicting the compressive strength of FRP‐confined concrete column

Structural Concrete, EarlyView.
Abstract Fiber reinforced polymer (FRP) wrapping technology is commonly used to enhance the compressive strength (CS) of reinforced concrete (RC) members. Accurate prediction of the compressive strength of FRP‐confined concrete columns is crucial for optimizing structural design and helps reduce the time and costs associated with physical testing ...
XuanRui Yu, Nima Khodadadi, Anxiang Song, Tianyu Hu, Yang Yu, Antonio Nanni   +5 more
wiley   +1 more source

Hybrid intelligence methods for modeling the diffusivity of light hydrocarbons in bitumen

Heliyon, 2020
The solvent diffusivity is considered as a key factor in the design of solvent assisted processes in the bitumen field. In this study, a novel Adaptive neuro-fuzzy interference system (ANFIS) is employed to evaluate the diffusivity of the light ...
Hossein Rajabi Kuyakhi, Omid Zarenia, Ramin Tahmasebi Boldaji   +2 more
doaj   +1 more source

Machine Learning Applications in Estimating Transformer Loss of Life

, 2017
Transformer life assessment and failure diagnostics have always been important problems for electric utility companies. Ambient temperature and load profile are the main factors which affect aging of the transformer insulation, and consequently, the ...
Khodaei, Amin, Mahoor, Mohsen, Majzoobi, Alireza   +2 more
core   +1 more source

Quantification of steroid hormones in free‐ranging Apennine wolf Canis lupus italicus hair samples collected post‐mortem

Wildlife Biology, EarlyView.
After decades of dramatic reductions in their populations, Italian wolves have begun recolonizing parts of their historic range. This growth in populations can lead to potential conflicts with human activities, which remain the main cause of wolf mortality.
Ilaria Troisio, Carmela Musto, Nicola Acquisti Casi, Nadia Govoni, Giuseppe Merialdi, Domenico Ventrella, Alberto Elmi, Mauro Delogu, Maria Laura Bacci   +8 more
wiley   +1 more source

Enhanced estimation and short-term forecasting of output power of a solar photovoltaic plant using adaptive neuro-fuzzy inference system (ANFIS)

Journal of Electrical Systems and Information Technology
Estimation and forecasting the power of the PV system is very important to the stability of the grid and the management of the energy. The most accurate and least computational methods are those that researchers aspire to develop for predicting the power.
Abdel-Nasser Sharkawy, Belkacem Bekhiti
doaj   +1 more source