High-dimensional approximation using an associative memory network

In this paper a framework has been outlined for an automatic approximation scheme, based on adaptive spline modelling of observational data, suitable for application to high-dimensional modelling and control problems. The points to be considered include: selecting the basis a_ij, model construction, the learning algorithm to optimise the linear coefficients and the criteria for model structure evaluation.