Results 101 to 110 of about 10,723 (231)

A comparative analysis of soft computing techniques used to estimate missing precipitation records

, 2012
Estimation of missing precipitation records is one of the most important tasks in hydrological and environmental study. The efficiency of hydrological and environmental models is subject to the completeness of precipitation data. This study compared some
Wong, K.W., Fung, Chun Che, Fung, C.C., Wong, Kok Wai, Kajornrit, Jesada, Kajornrit, J.   +5 more
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Evolving Intelligent Systems, eIS [PDF]

, 2006
The basic concept, formulation, background, and a panoramic view over the recent research results and open problems in the newly emerging area of research that is on the crossroads of computational intelligence and cybernetics is compressed in this short
Angelov, Plamen, Kasabov, Nik
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Laparoscopy Pneumoperitoneum Fuzzy Modeling

, 2011
: Gas volume to intra-peritoneal pressure fuzzy modeling for evaluating pneumoperitoneum in videolaparoscopic surgery is proposed in this paper. The proposed approach innovates in using fuzzy logic and fuzzy set theory for evaluating the accuracy of the ...
Jose E. Araujo Jr., Otavio M. Becker Jr., Joao L. M. C. Azevedo   +2 more
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PERAMALAN TEMPERATUR UDARA MENGGUNAKAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) [PDF]

, 2009
ABSTRAKSI: Adaptive Neuro Fuzzy Inference System (ANFIS) merupakan kombinasi dari Sistem Inferensi Fuzzy dengan Jaringan Syaraf Tiruan dimana nilai keanggotaan dari Sistem Inferensi Fuzzy akan diperbaiki melalui pembelajaran dengan Jaringan Syaraf Tiruan
DHARUMAS PINURBO
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Prediction of littoral drift with Adaptive Neuro-Fuzzy Inference System

, 2010
Prediction of littoral drift with Adaptive Neuro-Fuzzy Inference System The amount of sand moving parallel to a coastline forms a prerequisite for many harbor design projects.
Hosein Sabet, Mehdi Naseri, Masumeh Sabet   +2 more
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A Portrayal of Sliding Mode Control Through Adaptive Neuro Fuzzy Inference System With Optimization Perspective

IEEE Access
Sliding mode control is a promising approach for designing controllers for systems with empirical characteristics. This is a favored nonlinear control strategy that effectively addresses the uncertainties present in derived mathematical models.
Jim George, Geetha Mani
doaj   +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
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Retracted: Taxonomy of Adaptive Neuro-Fuzzy Inference System in Modern Engineering Sciences. [PDF]

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

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
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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
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