July 01, 1995 article Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems IEEE Transactions on Neural Networks DOI: 10.1109/72.392253 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 1,234 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Fast and generalisable parameter-embedded neural operators for lithium-ion battery simulation 2025 Energy and AI article Physics and Astronomy Model Reduction and Neural Networks Open access 9 citations A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations 2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 27 citations Personalized Algorithm Generation: A Case Study in Learning ODE Integrators 2022 SIAM Journal on Scientific Computing article Mathematics Numerical methods for differential equations Open access 13 citations Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies 2020 Computer Methods in Applied Mechanics and Engineering article Engineering Structural Health Monitoring Techniques 78 citations 4 results References 0