Hal L. Smith
: Convergent and oscillatory activation dynamics for cascades of neural nets with nearest neighbor competitive or cooperative interactions.
: INFANT neural controller for adaptive sensory-motor coordination.
, W. T. Tsai
: Effective neural algorithms for the traveling salesman problem.
, Rhee Man Kil
: A Gaussian potential function network with hierarchically self-organizing learning.
: Approximation capabilities of multilayer feedforward networks.
Michael K. Weir
: A method for self-determination of adaptive learning rates in back propagation.
: Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem.
: Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory.
: Dualistic geometry of the manifold of higher-order neurons.
Arun D. Kulkarni
: Solving ill-posed problems with artificial neural networks.
: State evaluation functions and Lyapunov functions for neural networks.
: Back propagation with expected source values.
Ahmed S. Abutaleb
: A neural network for the estimation of forces acting on radar targets.
: Approximation of functions on a compact set by finite sums of a sigmoid function without scaling.
: A method for designing the internal representation of neural networks and its application to network synthesis.
Wolfgang J. Daunicht
: DEFAnet--A deterministic neural network concept for function approximation.