Approximation and Radial-Basis-Function Networks 论文
1993Neural Computation引用 819
Neural Networks and ApplicationsFuzzy Logic and Control SystemsNumerical Methods and Algorithms
摘要
This paper concerns conditions for the approximation of functions in certain general spaces using radial-basis-function networks. It has been shown in recent papers that certain classes of radial-basis-function networks are broad enough for universal approximation. In this paper these results are considerably extended and sharpened.