Feasibility of random basis function approximators for modeling and control

Details Feasibility of random basis function approximators for modeling and control Feasibility of random basis function approximators for modeling and control

2009-05-05

arxiv.org/abs/0905.0677v1

Computer Science

Neural and Evolutionary Computing

Scientific paper

We discuss the role of random basis function approximators in modeling and control. We analyze the published work on random basis function approximators and demonstrate that their favorable error rate of convergence O(1/n) is guaranteed only with very substantial computational resources. We also discuss implications of our analysis for applications of neural networks in modeling and control.

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