1989, in 3 pieces

An early case of combining weight sharing with backpropagation to apply a neural network to a real-world task

Together with Cybenko, established the foundation for the approximation capability of multilayer feedforward neural networks

Proved that a single hidden layer can approximate any continuous function, providing a theoretical basis for expressive power