Estimation of hypersonic vehicle weight using Physics-Informed neural network supported by knowledge based engineering

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

Evolving Neural Networks through Augmenting Topologies

Kenneth O. Stanley, Risto Miikkulainen · Evolutionary Computation · 2002 · 3.2K citations

Computing, Evolutionary Biology, Coevolution +10

Physics-informed neural networks for high-speed flows

Zhiping Mao, Ameya D. Jagtap, George Em Karniadakis · Computer Methods in Applied Mechanics and Engineering · 2019 · 1.2K citations

Computing, Computational Engineering, Physics +14

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

Aytaç Altan, Seçkin Karasu, Enrico Zio · Applied Soft Computing · 2020 · 584 citations · Full text

Natural Sciences, Meteorology, Forecasting +16

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

Seçkin Karasu, Aytaç Altan, Stelios Bekiros et al. · Energy · 2020 · 477 citations · Full text

Computing, Data Science, Petroleum Engineering +17