Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
"A New Approach to Modeling Early Warning Systems for Currency Crises : can a machine-learning fuzzy expert system predict the currency crises effectively?" [PDF]
This paper presents a hybrid model for predicting the occurrence of currency crises by using the neuro fuzzy modeling approach. The model integrates the learning ability of neural network with the inference mechanism of fuzzy logic. The empirical results
Chin-Shien Lin +3 more
core +3 more sources
Neuro- Fuzzy Statistical Process Control [PDF]
مدیریت صنعتی, 2009 Controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. One of the common approaches for process control is applying Shewhart's quality control charts.
Nezamalldin Faghih, Amir Abbas Masoumi
doaj
Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method [PDF]
Price, Geostatistical model, Kiriging, Inverse distance weighting, Winter’s method, Adaptive neuro fuzzy inference system, Potatoes, Onions, Iran, Crop Production/Industries, Demand and Price Analysis,
Amiri, Arshia +2 more
core +4 more sources
Energy Science &Engineering, EarlyView.Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi +8 more
wiley +1 more source
A Neuro-Fuzzy Approach in the Prediction of Financial Stability and Distress Periods [PDF]
The purpose of this paper is to present a neuro-fuzzy approach of financial distress pre-warning model appropriate for risk supervisors, investors and policy makers.
Giovanis, eleftheios
core +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
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
Energy Science &Engineering, EarlyView.This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
Incorporating neuro-fuzzy with extended Kalman filter for simultaneous localization and mapping
International Journal of Advanced Robotic Systems, 2019 Extended Kalman filter is well-known as a popular solution to the simultaneous localization and mapping problem for mobile robot platforms or vehicles. In this article, the development of a neuro-fuzzy-based adaptive extended Kalman filter technique is ...
Cong Hung Do, Huei-Yung Lin
doaj +1 more source
Using of artificial intelligence for improving of lautering process productivity (part 1).
Kvasný průmysl, 2000 For control of lautering process firm Kiemann and Technical University Heilbronn have developed and control system Neuro-Fuzzy-Controller, that enables to obtain very good results even under using raw stuffs of different qualities.
F. MIROLL +4 more
doaj +1 more source