Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
Solar photovoltaic power forecasting: A review
KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …
climate change. The generation of climate-friendly renewable energy alternatives has been …
[PDF][PDF] 神经网络七十年: 回顾与展望
焦李成， 杨淑媛， 刘芳， 王士刚， 冯志玺 - 计算机学报, 2016 - cjc.ict.ac.cn
Hodykin-Huxley 方程, 感知器模型与自适应滤波器, 再到六十年代的自组织映射网络,
神经认知机, 自适应共振网络, 许多神经计算模型都发展成为信号处理, 计算机视觉 …
神经认知机, 自适应共振网络, 许多神经计算模型都发展成为信号处理, 计算机视觉 …
Forecasting of photovoltaic power generation and model optimization: A review
To mitigate the impact of climate change and global warming, the use of renewable energies
is increasing day by day significantly. A considerable amount of electricity is generated from …
is increasing day by day significantly. A considerable amount of electricity is generated from …
Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques
The modernisation of the world has significantly reduced the prime sources of energy such
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
On recent advances in PV output power forecast
In last decade, the higher penetration of renewable energy resources (RES) in energy
market was encouraged by implementing the energy polices in several developed and …
market was encouraged by implementing the energy polices in several developed and …
A simplified LSTM neural networks for one day-ahead solar power forecasting
CH Liu, JC Gu, MT Yang - Ieee Access, 2021 - ieeexplore.ieee.org
In recent years, exploration and exploitation of renewable energies are turning a new
chapter toward the development of energy policy, technology and business ecosystem in all …
chapter toward the development of energy policy, technology and business ecosystem in all …
Molecular-based artificial neural network for predicting the electrical conductivity of deep eutectic solvents
Due to their unique features, deep eutectic solvents (DESs) are well-known as promising
and environmentally friendly solvents. Their use in various processes has recently become …
and environmentally friendly solvents. Their use in various processes has recently become …
Stochastic synchronization of Markovian jump neural networks with time-varying delay using sampled data
In this paper, the problem of sampled-data synchronization for Markovian jump neural
networks with time-varying delay and variable samplings is considered. In the framework of …
networks with time-varying delay and variable samplings is considered. In the framework of …
Sequential Monte Carlo methods for multitarget filtering with random finite sets
Random finite sets (RFSs) are natural representations of multitarget states and observations
that allow multisensor multitarget filtering to fit in the unifying random set framework for data …
that allow multisensor multitarget filtering to fit in the unifying random set framework for data …