Multilayer perceptron neural network activated by adaptive Gaussian radial basis function and its application to predict lid-driven cavity flow

On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

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Comparing Activation Functions in Modeling Shoreline Variation Using Multilayer Perceptron Neural Network

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Wind turbine power curve modeling using radial basis function neural networks and tabu search

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Deep Learning Approach to Power Demand Forecasting in Polish Power System

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RBF-GA: An adaptive radial basis function metamodeling with genetic algorithm for structural reliability analysis

(2019) Zhao Jing et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An artificial neural network framework for reduced order modeling of transient flows

(2019) Omer San et al.   Communications in Nonlinear Science and Numerical Simulation

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

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Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach

(2018) Yang Li et al.   KNOWLEDGE-BASED SYSTEMS

Machine learning applications in minerals processing: A review

(2018) J.T. McCoy et al.   MINERALS ENGINEERING

An adaptive reanalysis method for genetic algorithm with application to fast truss optimization

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