Results 101 to 110 of about 15,321 (232)

A Study of Panel Logit Model and Adaptive Neuro-Fuzzy Inference System in the Prediction of Financial Distress Periods

, 2010
The purpose of this paper is to present two different approaches of financial distress pre-warning models appropriate for risk supervisors, investors and policy makers. We examine a sample of the financial institutions and electronic companies of Taiwan
Giovanis, Eleftherios
core  

Novel application of SMD-based IPSO-ANFIS model in predicting the number of measuring points on complex surfaces

Journal of King Saud University: Computer and Information Sciences
For the coordinated on-machine measurement of curved surfaces, the accurate prediction of the number of measuring points (MPs) could provide an important theoretical time basis for machining-inspection planning, workshop production scheduling, etc.
Ruiping Luo, Qihao Chen, Gaocai Fu, Shengwen Zhou, Yingkang Lu   +4 more
doaj   +1 more source

Modeling river water quality parameters using modified adaptive neuro fuzzy inference system

Water Science and Engineering, 2019
Water quality is always one of the most important factors in human health. Artificial intelligence models are respected methods for modeling water quality.
Armin Azad, Hojat Karami, Saeed Farzin, Sayed-Farhad Mousavi, Ozgur Kisi   +4 more
doaj   +1 more source

Multi-step ahead direct prediction for machine condition prognosis using regression trees and neuro-fuzzy systems

, 2009
This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead ...
Yang, Bo-Suk, Tan, Andy Chit Chiow, Tran, Van Tung   +2 more
core   +1 more source

Simulation of Pore Water Pressure in the Body of Earthen Dams during Construction Using Combining Meta-Heuristic Algorithms and ANFIS

علوم آب و خاک, 2022
Accurate prediction of pore water pressure in the body of earth dams during construction with accurate methods is one of the most important components in managing the stability of earth dams.
H. Hakimi Khansar, A. Hosseinzadeh Dalir, J. Parsa, J. Shiri   +3 more
doaj  

Rainfall Forecasting Using an Adaptive Neuro-Fuzzy Inference System with a Grid Partitioning Approach to Mitigating Flood Disasters [PDF]

Hydrometeorological disasters are one of the disasters that often occur in big cities like Semarang. Hydrometeorological disasters that often occur are floods caused by high-intensity rainfall in the area.
Fauzi, Fatkhurokhman, Prizka Rismawati Arum, Erlinda, Relly, Fatkhurokhman Fauzi, Relly Erlinda, Arum, Prizka Rismawati   +5 more
core   +1 more source

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

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   +1 more source

ANFIS-AMAL: Android Malware Threat Assessment Using Ensemble of ANFIS and GWO

Cybernetics and Information Technologies
Abstract The Android malware has various features and capabilities. Various malware has distinctive characteristics. Ransomware threatens financial loss and system lockdown. This paper proposes a threat-assessing approach using the Grey Wolf Optimizer (GWO) to train and tune the Adaptive Neuro-Fuzzy Inference System (ANFIS) to ...
Nwasra Nedal, Daoud Mohammad, Qaisar Zahid Hussain   +2 more
openaire   +2 more sources

Cost estimation using ANFIS

, 2016
Cost 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
M. R. Karimi-T. (2158648), Ehsan Lotfi (838575), M. Darini (838576)   +2 more
core   +1 more source

A particle swarm optimisation-based Grey prediction model for thermal error compensation on CNC machine tools

, 2015
Thermal errors can have a significant effect on CNC machine tool accuracy. The thermal error compensation system has become a cost-effective method of improving machine tool accuracy in recent years.
Longstaff, Andrew P., Fletcher, Simon, Abdulshahed, Ali, Abdulshahed, Ali M.   +3 more
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