Hybridization of hybrid structures for time series forecasting: A review
Z Hajirahimi, M Khashei - Artificial Intelligence Review, 2023 - Springer
Achieving the desired accuracy in time series forecasting has become a binding domain,
and developing a forecasting framework with a high degree of accuracy is one of the most …
and developing a forecasting framework with a high degree of accuracy is one of the most …
A review on proliferation of artificial intelligence in wind energy forecasting and instrumentation management
Energy is the source of economic growth, and energy consumption indicates the country's
state of development. Energy engineering is a relatively new technical discipline. It is …
state of development. Energy engineering is a relatively new technical discipline. It is …
Election Algorithm for Random k Satisfiability in the Hopfield Neural Network
Election Algorithm (EA) is a novel variant of the socio-political metaheuristic algorithm,
inspired by the presidential election model conducted globally. In this research, we will …
inspired by the presidential election model conducted globally. In this research, we will …
An Improved Particle Swarm Optimization and Adaptive Neuro‐Fuzzy Inference System for Predicting the Energy Consumption of University Residence
Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro‐fuzzy inference …
consumed. In response, this study developed a multihybrid adaptive neuro‐fuzzy inference …
Remaining useful life prediction using hybrid neural network and genetic algorithm approaches
N Kumari, R Kumar, AR Mohanty… - … on Maintenance and …, 2021 - ieeexplore.ieee.org
Recently, numerous approaches have been applied for predicting the RUL of machinery
based on condition information. Artificial Intelligence (AI) methods such as Long Short-Term …
based on condition information. Artificial Intelligence (AI) methods such as Long Short-Term …
Artificial Neural Network Process Optimization for Predicting the Thermal Properties of Biomass: Recent Advances and Future Challenges
S Dayana Priyadharshini… - … of Electronic Waste, 2024 - Wiley Online Library
Biomass is one of the alternative energy sources that is most plentiful and dependable.
Hence, comprehensive knowledge of its inherent potential is imperative to investigate the …
Hence, comprehensive knowledge of its inherent potential is imperative to investigate the …
[PDF][PDF] Research Article An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University …
Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro• fuzzy inference …
consumed. In response, this study developed a multihybrid adaptive neuro• fuzzy inference …
[PDF][PDF] Metaheuristic-Based Support Vector Machines for Exchange Rate Forecasting
S Behera - 2024 - ijresonline.com
Given the dynamic and complex landscape of financial markets, accurately predicting
financial time series presents considerable hurdles. This research explores the utilization of …
financial time series presents considerable hurdles. This research explores the utilization of …