Results 71 to 80 of about 55,481 (267)
Modelling evaporator in organic Rankine cycle using hybrid GD-LSE ANFIS and PSO ANFIS techniques [PDF]
Thermal Science and Engineering Progress, 2020 Internal combustion engines (ICEs) are likely to be used in heavy-duty applications for many years and it is important to continue improving their efficiency. One approach is to recover waste heat from the exhaust of heavy-duty diesel engines (HDDEs) using waste heat recovery (WHR) technologies.
Enayatollahi, Hamid +2 more
openaire +1 more source
Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm [PDF]
, 2001 This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro-fuzzy inference system (ANFIS) and investigates their robustness for a multi-machine power system.
Linkens, D. A. +2 more
core +1 more source
The 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
Medical image classification and symptoms detection using neuro fuzzy [PDF]
, 2008 The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible.
Mohd. Basri, Mohd. Ariffanan
core
Design an intelligent controller for full vehicle nonlinear active suspension systems [PDF]
, 2011 The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements.
Aldair, A A, Wang, W J
core +2 more sources
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Applied Water Science, 2018 In many hydraulic structures, side weirs have a critical role. Accurately predicting the discharge coefficient is one of the most important stages in the side weir design process. In the present paper, a new high efficient side weir is investigated.
Hossein Bonakdari, Amir Hossein Zaji
doaj +1 more source
Prediction of suction caissons behavior in cohesive soils using computational intelligence methods [PDF]
International 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
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy 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
ANFIS Control Double-Inverted Pendulum
Chemical Engineering Transactions, 2015 For double inverted pendulum multivariable, strong coupling and nonlinear proposed adaptive fuzzy neural inference system (ANFIS) is applied inverted pendulum stabilization control process. Adaptive control algorithm, fully able to meet the requirements of double inverted pendulum control, ANFIS system after training, will be applied to the inverted ...
openaire +3 more sources