A comprehensive review of bio-inspired optimization algorithms including applications in microelectronics and nanophotonics
The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …
A novel granular decomposition based predictive modeling framework for cryptocurrencies' prices forecasting
Purpose Owing to highly volatile and chaotic external events, predicting future movements of
cryptocurrencies is a challenging task. This paper advances a granular hybrid predictive …
cryptocurrencies is a challenging task. This paper advances a granular hybrid predictive …
[HTML][HTML] Short-term power forecasting of fishing-solar complementary photovoltaic power station based on a data-driven model
J Wang, Q Zhang, S Li, X Pan, K Chen, C Zhang… - Energy Reports, 2023 - Elsevier
A data-driven short-term power generation forecasting model has been proposed to address
the problems of information redundancy and low forecasting accuracy for the previous …
the problems of information redundancy and low forecasting accuracy for the previous …
On the Sea Surface Temperature Forecasting Problem with Deep Dilation-Erosion-Linear Models
The sea surface temperature (SST) is considered an important measure for detecting
changes in climate and marine ecosystems. So, its forecasting is essential for supporting …
changes in climate and marine ecosystems. So, its forecasting is essential for supporting …
Review of deep learning models for crypto price prediction: implementation and evaluation
J Wu, X Zhang, F Huang, H Zhou… - ar** Cryptocurrency Fluctuation Patterns
Cryptocurrency price fluctuations are increasingly interesting and are of concern to
researchers around the world. Many ways have been proposed to predict the next price …
researchers around the world. Many ways have been proposed to predict the next price …
[PDF][PDF] AN IMPROVISED METHOD USING NEURO-FUZZY SYSTEM FOR FINANCIAL TIME SERIES FORECASTING.
A Gandhi, SM Lekshmi Sri, BP Singh… - ICTACT Journal on …, 2024 - ictactjournals.in
Financial time series forecasting is crucial for making informed investment decisions. This
study proposes an improvised method utilizing a Neuro-Fuzzy System (NFS) for enhanced …
study proposes an improvised method utilizing a Neuro-Fuzzy System (NFS) for enhanced …