Results 111 to 120 of about 12,863 (232)

Adaptive neuro-fuzzy inference system for drought modeling

MAUSAM
. Drought exerts a significant impact on both the environment and agricultural sectors, particularly in farming. Addressing the impact of drough is essential for all stackholders who depends on natural water sources.  Adaptive Neuro-Fuzzy Inference System (ANFIS), one of the hybrid artificial neural networks, is primarily used in this study to model ...
null M Radha, S.Vishnu Shankar, null I Induja, null S Kokilavani   +3 more
openaire   +1 more source

Application of Neuro-Fuzzy system to solve Traveling Salesman Problem

, 2011
This paper presents the application of adaptive neuro-fuzzy inference system (ANFIS) in solving the traveling salesman problem. Takagi-Sugeno-Kang neuro-fuzzy architecture model is used for this purpose.
Suman Sangwan, Dr. Nitin Jain
core  

Machine condition prognosis using multi-step ahead prediction and neuro-fuzzy systems

This paper presents an approach to predict the operating conditions of machine based on adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead prediction of time series techniques. In this study,
Tran, Van Tung
core  

Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools

, 2013
Thermal errors can have significant effects on CNC machine tool accuracy. The errors usually come from thermal deformations of the machine elements created by heat sources within the machine structure or from ambient change.
Longstaff, Andrew P., Fletcher, Simon, Abdulshahed, Ali, Myers, Alan   +3 more
core  

Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System

, 2010
Stabilometry is a branch of medicine that studies balance-related human functions. The analysis of stabilometric-generated time series can be very useful to the diagnosis and treatment balance-related dysfunctions such as dizziness.
Caraça-Valente Hernández, Juan Pedro, Vassilis Kodogiannis, Juan A. Lara, Lara Torralbo, Juan Alfonso, Pari Jahankhani, Jahankhani, Pari, Kodogiannis, Vassilis, Pérez Pérez, Aurora, Juan P. Valente, Aurora Pérez   +9 more
core   +1 more source

Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method

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,
Najafi, Bahaeddin, Amiri, Arshia, Bakhshoodeh, Mohamad   +2 more
core   +2 more sources

Classification of COVID-19 Individuals Using Adaptive Neuro-Fuzzy Inference System. [PDF]

J Med Signals Sens, 2022
Dehghandar M, Rezvani S.
europepmc   +2 more sources

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR OKRA YIELD PREDICTION

, 2017
This paper, adaptive neuro-fuzzy inference system for okra yield prediction, describes the use of neuro-fuzzy inference system in the prediction of okra yield using environmental parameters such as minimum temperature, relative humidity, evaporation ...
ADEKOYA, A D, AWOSEYI, A A, OJESANMI, O A   +2 more
core   +1 more source

A new approach to adaptive fuzzy control: the controller output error method

, 1997
The controller output error method (COEM) is introduced and applied to the design of adaptive fuzzy control systems. The method employs a gradient descent algorithm to minimize a cost function which is based on the error at the controller output.
Lotfi, A, Andersen, HC, Tsoi, AC
core  

Retracted: Swarm Intelligence with Adaptive Neuro-Fuzzy Inference System-Based Routing Protocol for Clustered Wireless Sensor Networks. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source