Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature

PV de Campos Souza - Applied soft computing, 2020 - Elsevier
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …

Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey

D Karaboga, E Kaya - Artificial Intelligence Review, 2019 - Springer
In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …

Modeling managed grassland biomass estimation by using multitemporal remote sensing data—A machine learning approach

I Ali, F Cawkwell, E Dwyer… - IEEE Journal of Selected …, 2016 - ieeexplore.ieee.org
More than 80% of agricultural land in Ireland is grassland, which is a major feed source for
the pasture based dairy farming and livestock industry. Many studies have been undertaken …

Modeling of carbon dioxide fixation by microalgae using hybrid artificial intelligence (AI) and fuzzy logic (FL) methods and optimization by genetic algorithm (GA)

OS Kushwaha, H Uthayakumar… - Environmental Science and …, 2023 - Springer
In this study, we are reporting a novel prediction model for forecasting the carbon dioxide
(CO2) fixation of microalgae which is based on the hybrid approach of adaptive neuro-fuzzy …

An analytical approach for big social data analysis for customer decision-making in eco-friendly hotels

M Nilashi, B Minaei-Bidgoli, M Alrizq… - Expert Systems with …, 2021 - Elsevier
Sustainable tourism is an emerging trend around the world. Eco-friendly (green) hotels are
environmentally friendly properties that are becoming more popular among green travellers …

A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting

E Ghasemi, H Kalhori, R Bagherpour - Engineering with Computers, 2016 - Springer
In this paper, a novel hybrid approach is proposed for predicting peak particle velocity (PPV)
due to bench blasting in open pit mines. The proposed approach is based on the …

Comparison of multi-objective evolutionary algorithms in hybrid Kansei engineering system for product form design

MD Shieh, Y Li, CC Yang - Advanced Engineering Informatics, 2018 - Elsevier
Understanding the affective needs of customers is crucial to the success of product design.
Hybrid Kansei engineering system (HKES) is an expert system capable of generating …

Investigation of different sources in order to optimize the nuclear metering system of gas–oil–water annular flows

A Karami, GH Roshani, A Khazaei, E Nazemi… - Neural Computing and …, 2020 - Springer
The used metering technique in this paper is based on the multienergy (at least dual)
gamma-ray attenuation. The aim of the current study is investigation of different …

[HTML][HTML] Modeling customer satisfaction with new product design using a flexible fuzzy regression-data envelopment analysis algorithm

S Nazari-Shirkouhi, A Keramati - Applied Mathematical Modelling, 2017 - Elsevier
The success of new products depends greatly on customer satisfaction and meeting the
customer needs is vital for new product development. By incorporating customer needs in …

Customer satisfaction analysis and preference prediction in historic sites through electronic word of mouth

M Nilashi, A Fallahpour, KY Wong… - Neural Computing and …, 2022 - Springer
Cultural tourism is a continuously rapidly develo** product which the global travel sector
has experienced. Cultural products are a vital part of the economy and post-modern society …