Results 41 to 50 of about 15,321 (232)

ANFIS-GA model.

open access: yes, 2018
ANFIS-GA model.
Alex Stojcevski (5150657)   +7 more
core   +1 more source

Dalgacık Dönüşüm Tekniği ve Uyarlamalı Ağ Tabanlı Bulanık Çıkarım Sistemi ile Eğirdir Gölü Buharlaşma Tahmini

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021
Buharlaşma, yeryüzünde bulunan suyun atmosfere transferi olarak tanımlanabilmektedir. Buharlaşma miktarının doğru tahmini özellikle kurak dönemler ve kurak alanlarda büyük öneme sahiptir.
Özlem Terzi, Tahsin Baykal
doaj   +1 more source

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

ANFIS-DE model.

open access: yes, 2018
ANFIS-DE model.
Alex Stojcevski (5150657)   +7 more
core   +1 more source

Comparison of modified Karnik-Mendel algorithm-based interval type-2 ANFIS and type-1 ANFIS [PDF]

open access: yes, 2021
Purpose This study aims to propose, as the first time, the interval type-2 adaptive network-fuzzy inference system (ANFIS) structure, which is given better results compared to previously presented in the open literature.
Ozturk, Muhammet, Ozkol, Ibrahim
core   +1 more source

Hybrid PSO-ANFIS for Speaker Recognition

open access: yesInternational Journal of Cognitive Informatics and Natural Intelligence, 2021
This paper introduces an evolutionary approach for training the adaptive network-based fuzzy inference system (ANFIS). The previous works are based on gradient descendent (GD); this algorithm converges very slowly and gets stuck down at bad local minima.
Samiya Silarbi   +2 more
openaire   +2 more sources

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

open access: yesEnergy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari   +2 more
wiley   +1 more source

Prediction of suction caissons behavior in cohesive soils using computational intelligence methods [PDF]

open access: yesInternational Journal of Mining and Geo-Engineering, 2020
Compared to drag anchors, suction caissons (Q) in clays often provide a cost-effective alternative for jacket structures, catenary, tension leg moorings, and taut leg.
Hadi Fattahi, Hosnie Nazari
doaj   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

open access: yesEnergy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

A Hierarchical Procedure for the Synthesis of ANFIS Networks [PDF]

open access: yesAdvances in Fuzzy Systems, 2012
Adaptive neurofuzzy inference systems (ANFIS) represent an efficient technique for the solution of function approximation problems. When numerical samples are available in this regard, the synthesis of ANFIS networks can be carried out exploiting clustering algorithms.
openaire   +4 more sources

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