[HTML][HTML] Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook
One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …
the high feedstock cost. Modeling and optimization are crucial steps to determine if …
An introductory survey of fuzzy control
M Sugeno - Information sciences, 1985 - Elsevier
This paper reviews the studies on fuzzy control by referring to most of the papers ever written
on fuzzy control. As an introduction, the paper picks up key points in applying fuzzy control …
on fuzzy control. As an introduction, the paper picks up key points in applying fuzzy control …
Development of advanced artificial intelligence models for daily rainfall prediction
In this study, the main objective is to develop and compare several advanced Artificial
Intelligent (AI) models namely Adaptive Network based Fuzzy Inference System optimized …
Intelligent (AI) models namely Adaptive Network based Fuzzy Inference System optimized …
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate
Predicting the penetration rate is a complex and challenging task due to the interaction
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
B Pradhan - Computers & Geosciences, 2013 - Elsevier
The purpose of the present study is to compare the prediction performances of three different
approaches such as decision tree (DT), support vector machine (SVM) and adaptive neuro …
approaches such as decision tree (DT), support vector machine (SVM) and adaptive neuro …
A hybrid method for prognostics of lithium-ion batteries capacity considering regeneration phenomena
H Meng, M Geng, J Xing, E Zio - Energy, 2022 - Elsevier
Prognostics and health management (PHM) is crucial to the reliability and safety of lithium-
ion batteries. In this respect, the capacity regeneration phenomenon that occurs during the …
ion batteries. In this respect, the capacity regeneration phenomenon that occurs during the …
High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach
Variations in the high cycle fatigue response of laser powder bed fusion materials can be
caused by the choice of processing and post-processing strategies. The numerous …
caused by the choice of processing and post-processing strategies. The numerous …
ANFIS: adaptive-network-based fuzzy inference system
JSR Jang - IEEE transactions on systems, man, and …, 1993 - ieeexplore.ieee.org
The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy
inference system) is presented, which is a fuzzy inference system implemented in the …
inference system) is presented, which is a fuzzy inference system implemented in the …
Fuzzy logic in control systems: fuzzy logic controller. I
CC Lee - IEEE Transactions on systems, man, and cybernetics, 1990 - ieeexplore.ieee.org
The fuzzy logic controller (FLC) provides a means of converting a linguistic control strategy.
A survey of the FLC is presented, and a general methodology for constructing an FLC and …
A survey of the FLC is presented, and a general methodology for constructing an FLC and …
Daily electricity price forecasting using artificial intelligence models in the Iranian electricity market
M Heidarpanah, F Hooshyaripor, M Fazeli - Energy, 2023 - Elsevier
The structure of the electricity market in Iran is based on a pay-as-bid auction mechanism. In
such a market, hydropower generators need to have accurate estimates of energy price in …
such a market, hydropower generators need to have accurate estimates of energy price in …