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 …
consequence. Training ANFIS means determination of these parameters using an …
Review of recent research and developments on floating breakwaters
Floating breakwaters are an effective solution for protecting fragile beaches from being
washed away, coastlines from erosion, floating structures, marinas and ports from strong …
washed away, coastlines from erosion, floating structures, marinas and ports from strong …
Di-ANFIS: an integrated blockchain–IoT–big data-enabled framework for evaluating service supply chain performance
SMH Bamakan, N Faregh… - … of Computational Design …, 2021 - academic.oup.com
Abstract Service supply chain management is a complex process because of its intangibility,
high diversity of services, trustless settings, and uncertain conditions. However, the …
high diversity of services, trustless settings, and uncertain conditions. However, the …
Applications of neuro fuzzy systems: A brief review and future outline
This paper surveys neuro fuzzy systems (NFS) development using classification and
literature review of articles for the last decade (2002–2012) to explore how various NFS …
literature review of articles for the last decade (2002–2012) to explore how various NFS …
Time series prediction of driving motion scenarios using fuzzy neural networks: Motion Signal Prediction Using FNNs
Motion signals can be reproduced using a simulation-based motion platform (SBMP) and
virtual reality. In this respect, time series prediction of the driving motion scenarios can …
virtual reality. In this respect, time series prediction of the driving motion scenarios can …
Numerical studies of submerged moored box-type floating breakwaters with different shapes of cross-sections using SPH
Z Liu, Y Wang - Coastal Engineering, 2020 - Elsevier
The wave-attenuation performances and hydrodynamics of moored box-type floating
breakwaters with the same weight, same wall thickness, and six different cross-sections, ie …
breakwaters with the same weight, same wall thickness, and six different cross-sections, ie …
Performance evaluation of a hybrid PSO enhanced ANFIS model in prediction of traffic flow of vehicles on freeways: Traffic data evidence from South Africa
In the last few years, there has been a significant rise in the number of private vehicles
ownership, migration of people from rural areas to urban cities, and the rise in the number of …
ownership, migration of people from rural areas to urban cities, and the rise in the number of …
[HTML][HTML] Prediction of the stability number of conventional rubble-mound breakwaters using machine learning algorithms
An important issue in designing the structures of rubble-mound breakwaters, is to estimate
the stability number of its armor block. Most of the traditional stability analysis methods are …
the stability number of its armor block. Most of the traditional stability analysis methods are …
Particle Swarm Optimization based support vector machine for damage level prediction of non-reshaped berm breakwater
The damage analysis of coastal structure is very much essential for better and safe design of
the structure. In the past, several researchers have carried out physical model studies on …
the structure. In the past, several researchers have carried out physical model studies on …
An adaptive neuro-fuzzy inference system for forecasting Australia's domestic low cost carrier passenger demand
This study has proposed and empirically tested two Adaptive Neuro-Fuzzy Inference System
(ANFIS) models for the first time for predicting Australia's domestic low cost carriers' demand …
(ANFIS) models for the first time for predicting Australia's domestic low cost carriers' demand …