Novel volatility forecasting using deep learning–long short term memory recurrent neural networks
Y Liu - Expert Systems with Applications, 2019 - Elsevier
Abstracts The volatility is related to financial risk and its prediction accuracy is very important
in portfolio optimisation. A large body of literature to-date suggests Support Vector Machines …
in portfolio optimisation. A large body of literature to-date suggests Support Vector Machines …
A surrogate-assisted evolution strategy for constrained multi-objective optimization
R Datta, RG Regis - Expert Systems with Applications, 2016 - Elsevier
In many real-world optimization problems, several conflicting objectives must be achieved
and optimized simultaneously and the solutions are often required to satisfy certain …
and optimized simultaneously and the solutions are often required to satisfy certain …
Modelling and simulation of two-bed PSA process for separating H2 from methane steam reforming
Methane steam reforming is the main hydrogen production method in the industry. The
product of methane steam reforming contains H 2, CH 4, CO and CO 2 and is then purified …
product of methane steam reforming contains H 2, CH 4, CO and CO 2 and is then purified …
Optimal surrogate building using SVR for an industrial grinding process
RK Inapakurthi, K Mitra - Materials and Manufacturing Processes, 2022 - Taylor & Francis
Transient states modeling of industrial grinding process with significant accuracy is
extremely essential to run these energy intensive processes in optimal conditions ensuring …
extremely essential to run these energy intensive processes in optimal conditions ensuring …
Random forest model for removal of bromophenol blue using activated carbon obtained from Astragalus bisulcatus tree
In this research, activated carbon (AC) simply was prepared from a local, abundant tree in
south of Iran. The AC with low cost and toxicity is a good candidate for bromophenol blue …
south of Iran. The AC with low cost and toxicity is a good candidate for bromophenol blue …
An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes
Soil nailing is one of the slope stabilisation techniques useful for the strengthening of
existing slopes. It helps to reinforce the soil with passive inclusions that increase the overall …
existing slopes. It helps to reinforce the soil with passive inclusions that increase the overall …
Performance evaluation of microbial fuel cell by artificial intelligence methods
In the present study, performance of microbial fuel cell (MFC) has been modeled using three
potential artificial intelligence (AI) methods such as multi-gene genetic programming …
potential artificial intelligence (AI) methods such as multi-gene genetic programming …
Random forest model for the ultrasonic-assisted removal of chrysoidine G by copper sulfide nanoparticles loaded on activated carbon; response surface methodology …
Copper sulfide nanoparticle-loaded activated carbon (CuS-NP-AC) was prepared and used
as an adsorbent for the accelerated removal of chrysoidine G (CG) assisted by ultrasound …
as an adsorbent for the accelerated removal of chrysoidine G (CG) assisted by ultrasound …
Optimization and analysis of pressure swing adsorption process for oxygen production from air under uncertainty
E Akulinin, O Golubyatnikov, D Dvoretsky… - Chemical Industry and …, 2020 - doiserbia.nb.rs
Pressure swing adsorption (PSA) units are widely used for atmospheric air separation and
oxygen concentration. However, the efficiency of such installations is reduced due to …
oxygen concentration. However, the efficiency of such installations is reduced due to …
Multi-objective optimisation using surrogate models for the design of VPSA systems
Vacuum/pressure swing adsorption is an attractive and often energy efficient separation
process for some applications. However, there is often a trade-off between the different …
process for some applications. However, there is often a trade-off between the different …