Results 91 to 100 of about 17,074 (218)
Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.ABSTRACT Flood loss mapping is one of the essential prerequisites for urban flood assessment studies to identify areas vulnerable to floods and to make cities safe and resilient. This study develops a neuro‐fuzzy loss model to generate flood loss maps, classifying loss levels into several categories ranging from no loss to severe loss.
Mahdi Sedighkia +2 more
wiley +1 more source
Electric vehicle battery model identification and state of charge estimation in real world driving cycles [PDF]
, 2015 This paper describes a study demonstrating a new method of state-of-charge (SoC) estimation for batteries in real-world electric vehicle applications. This method combines realtime model identification with an adaptive neuro-fuzzy inference system (ANFIS)
Auger, Daniel J. +2 more
core +1 more source
Basic and Clinical Neuroscience, 2012 Epilepsy is a clinical syndrome in which seizures have a tendency to recur. Sodium valproate is the most effective drug in the treatment of all types of generalized seizures. Finding the optimal dosage (The lowest effective dose) of sodium valproate is a
Amir Hooshang Mohammadpour +3 more
doaj +2 more sources
Estimation of the GCV of Coal Using Real‐Time Plant Data
Energy Science &Engineering, Volume 14, Issue 2, Page 905-915, February 2026.ABSTRACT Online or real‐time strategies of estimating the gross calorific value (GCV) of coal are still not fully explored in academic literature, even though both conventional and sophisticated offline methods for estimating the GCV are well described.
Lethukuthula Nokwazi Vilakazi +1 more
wiley +1 more source
Fruit production forecasting by neuro-fuzzy techniques [PDF]
Neuro-fuzzy techniques are finding a practical application in many fields such as in model identification and forecasting of linear and non-linear systems.
Atsalakis, George S. +1 more
core +1 more source
Neuro-fuzzy application for concrete strength prediction using combined non-destructive tests [PDF]
, 2009 The application of the neuro-fuzzy inference system to predict the compressive strength of concrete is presented in this study. The adaptive neuro-fuzzy inference system (ANFIS) is introduced for training and testing the data sets consisting of various ...
Chung, L. +3 more
core +2 more sources
Tomada de decisão no mercado financeiro:
Revista Eniac PesquisaO presente trabalho tem por objetivo realizar a previsão das séries temporais do Índice Bovespa (Ibovespa) utilizando os métodos de Redes Neurais Artificiais – RNA e Adaptive Neuro Fuzzy Inference Systems – ANFIS, tendo em vista a busca de alternativas a
José Willer do Prado +3 more
doaj +1 more source
Medical image classification and symptoms detection using neuro fuzzy [PDF]
, 2008 The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible.
Mohd. Basri, Mohd. Ariffanan
core
Solar Fed 15 Level Cascaded Multilevel Inverter with ANFIS Control Strategy for Enhancement of Power Quality [PDF]
E3S Web of ConferencesSolar PV energy conversion systems suffer from degraded power quality issues because of harmonics in the system. In order to eliminate harmonics, this paper focuse on a solar-powered 15-level cascaded inverter.
Ramakrishna Kothuri +3 more
doaj +1 more source
PERANCANGAN DAN SIMULASI BASIC ENGINE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS)
TEMATIK, 2015 Abstrak : Adaptif Neuro Fuzzy Inference System ( ANFIS ) merupakan salah satu variasi bentuk dari fuzzy. Untuk dapat menggunakan ANFIS, dapat dibuat engine ANFIS yang berfungsi menjalankan logika fuzzy yang dirancang. Perancangan dan simulasi basic engine ANFIS ini bertujuan untuk merancang sebuah basic engine ANFIS dan menguji performansinya dalam ...
openaire +2 more sources