Hybrid learning of mapping and its Jacobian in multilayer neural networks

Multilayer feedforward networks are universal approximators

Neural Networks

Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks

Neural Networks

Learning internal representations by error propagation

Parallel distributed processing: explorations in the microstructure of cognition, vol. 1

Original Contribution: On learning the derivatives of an unknown mapping with multilayer feedforward networks

Neural Networks

Original Contribution: Approximation of a function and its derivative with a neural network

Neural Networks

Learning and generalization in radial basis function networks

Neural Computation

New neural network training algorithm and its applications

Journal of Artificial Neural Networks - Special issue: neural networks research in Japan

On the relationship between generalization error, hypothesis complexity, and sample complexity for radial basis functions

Neural Computation

An accelerated learning algorithm for multilayer perceptrons: optimization layer by layer

IEEE Transactions on Neural Networks