Results 81 to 90 of about 10,723 (231)

Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters

Mathematical and Computational Applications
This work presents a data-driven approach for diagnosing sensor faults and leaks in hydraulic pipelines using neuro-fuzzy Zonotopic Kalman Filters (ZKF).
Esvan-Jesús Pérez-Pérez, Yair González-Baldizón, José-Armando Fragoso-Mandujano, Julio-Alberto Guzmán-Rabasa, Ildeberto Santos-Ruiz   +4 more
doaj   +1 more source

Adaptive neuro fuzzy inference system for profiling of the atmosphere [PDF]

, 2014
Abstract. Retrieval of accurate profiles of temperature and water vapor is important for the study of atmospheric convection. However, it is challenging because of the uncertainties associated with direct measurement of atmospheric parameters during convection events using radiosonde and retrieval of remote-sensed observations from satellites.
K. Ramesh, A. P. Kesarkar, J. Bhate, M. Venkat Ratnam, A. Jayaraman   +4 more
openaire   +1 more source

Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems

, 2010
This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression tress (CART) and neuro-fuzzy inference systems (ANFIS).
Yang, Bo-Suk, Yang, B. S., Tran, Van Tung, Tran, V. T.   +3 more
core  

The Staging Model in Psychosis and Preventive Interventions: An Emerging Field With Debates on Conceptual Models and Interpretation of the Evidence Base

Early Intervention in Psychiatry, Volume 20, Issue 7, July 2026.
ABSTRACT Aims The staging model in psychiatry is heuristic and evolving, provoking debate and stimulating alternative views. This paper reviews major controversies in the field of staging and prevention of psychosis. Methods We review the literature on the classification model, the continuum model and the dynamic systems model applied to psychiatry ...
Mark van der Gaag, Cristina Mei, Barnaby Nelson, Maximus Berger, Marija Krcmar, G. Paul Amminger, Andreas Bechdolf, Paul Hutton, Pim Cuijpers, Alison R. Yung, Patrick D. McGorry   +10 more
wiley   +1 more source

Rainfall prediction in the northeast region of Thailand using Cooperative Neuro-Fuzzy Technique

, 2012
Accurate rainfall forecasting is a crucial task for reservoir operation and flood prevention because it can provide an extension of lead-time for flow forecasting. This study proposes two rainfall time series prediction models, the Single Fuzzy Inference
Wong, K.W., Fung, C.C., Kajornrit, J.
core  

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  

Monthly rainfall time series prediction using modular fuzzy inference system with nonlinear optimization techniques

, 2012
Accurate rainfall time series prediction is one of the important tasks in hydrological study. A conventional time series model such as autoregressive moving average or an intelligent model such as artificial neural network have been used efficiently to ...
Kajornrit, J.
core  

Developed adaptive neuro-fuzzy inference system (ANFIS) structure.

, 2015
Developed adaptive neuro-fuzzy inference system (ANFIS) structure.
Changho Jhin (814959), Keum Taek Hwang (814960)   +1 more
core   +1 more source

Adaptive neuro fuzzy inference system untuk peramalan jumlah wisatawan

, 2020
Adaptive Neuro Fuzzy Inference System(ANFIS) yaitu metode yang menggabungkan metode-metode yang ada pada softcomputing. Softcomputing yaitu pemodelan dengan pendekatan seperti nalar dari manusia dan belajar sesuai kondisi yang tidak pasti yang fleksibel ...
Sugiyarto, Sugiyarto, Atma, Budi Handarbeni S.   +1 more
core   +1 more source

Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board

Majlesi Journal of Electrical Engineering
In this paper, an intelligent adaptive controller is designed to handle the transmission time delay problem in a complex and nonlinear bilateral teleoperation system with force feedback.
Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim   +3 more
doaj   +1 more source