Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models

S Zhu, S Heddam, EK Nyarko… - … Science and Pollution …, 2019 - Springer
River water temperature is a key control of many physical and bio-chemical processes in
river systems, which theoretically depends on multiple factors. Here, four different machine …

Effects of temperature, time, and pH on the stability of anthocyanin extracts: Prediction of total anthocyanin content using nonlinear models

L Ekici, Z Simsek, I Ozturk, O Sagdic, H Yetim - Food Analytical Methods, 2014 - Springer
In this study, different anthocyanin sources including grape skin, black carrot, and red
cabbage were used to determine the effect of thermal treatment, different acidity levels, and …

Neural identification of selected apple pests

P Boniecki, K Koszela, H Piekarska-Boniecka… - … and Electronics in …, 2015 - Elsevier
The subject of this study was to investigate the possibility of using artificial neural networks
as a tool for classification, designed to identify apple orchard pests. The paper presents a …

The combination of multiple linear regression and adaptive neuro-fuzzy inference system can accurately predict trihalomethane levels in tap water with fewer water …

J Zhang, D Ye, Q Fu, M Chen, H Lin, X Zhou… - Science of the Total …, 2023 - Elsevier
Abstract Artificial Neural Network (ANN) models are accurate in predicting the levels of
disinfection by-products (DBPs) in drinking water. However, these models are not yet …

[PDF][PDF] Optimasi Kecepatan Motor DC Menggunakan Pid Dengan Tuning Ant Colony Optimization (ACO) Controller

MN Masrukhan, MP Mulyo, D Ajiatmo… - SENTIA-2016, Polinema …, 2016 - researchgate.net
Characters of the DC motor is non linear and for the permanent magnet is linear. Nonlinear
characteristics of DC motors such as friction and saturation can degrade the performance of …

Prediction of fatty acid composition of vegetable oils based on rheological measurements using nonlinear models

H Yalcin, OS Toker, I Ozturk… - European journal of …, 2012 - Wiley Online Library
The aim of this study was to model the fatty acid composition of vegetable oils by using the
adaptive neuro fuzzy inference system (ANFIS) and artificial neural network (ANN) based on …

Application of an adaptive neuro_fuzzy inference system (ANFIS) in the modeling of rapeseeds' oil extraction

V Farzaneh, H Bakhshabadi… - Journal of Food …, 2017 - Wiley Online Library
In the present study, the temperature and moisture content of the output seeds of the cooking
pot were considered as inputs or independent variables and the insoluble fine partial …

Prediction of oxidation parameters of purified Kilka fish oil including gallic acid and methyl gallate by adaptive neuro‐fuzzy inference system (ANFIS) and artificial …

M Asnaashari, R Farhoosh… - Journal of the Science …, 2016 - Wiley Online Library
BACKGROUND As a result of concerns regarding possible health hazards of synthetic
antioxidants, gallic acid and methyl gallate may be introduced as natural antioxidants to …

Identification of selected apple pests based on selected graphical parameters

P Boniecki, K Koszela… - … on digital image …, 2013 - spiedigitallibrary.org
The aim of this work was a neural identification of selected apple tree orchard pests. The
classification was conducted on the basis of graphical information coded in the form of …

[PDF][PDF] Optimasi Kecepatan Motor DC Menggunakan Algoritma Kelelawar (Bat Algorithm)

YG Hartlambang, H Nurohmah… - … 2017, Universitas Madura, 2017 - researchgate.net
Sistem Motor DC bersifat tidak linier sedang permanent magnet bersifat linear.
Ketidaklinearan dari motor DC tersebut bisa mempersulit dalam aplikasi yang …