Proceedings of International Conference on Neural Networks (ICNN'96) · 2002 · 16 citations · 9 references
Mathematical ProgrammingEngineeringMachine LearningNetwork AnalysisMultilayer PerceptronRecurrent Neural NetworkSpatial NetworkPattern RecognitionNew Neural NetworkApproximation TheoryExtreme Learning MachineComputer EngineeringComputer ScienceMultivariate ApproximationDeep LearningNetwork TheoryRadial Basis FunctionComputational NeuroscienceNeuronal NetworkHigh-dimensional NetworkBrain-like Computing
This paper presents the initial research carried out into a new neural network called the multilayer radial basis function network (MRBF). The network extends the radial basis function (RBF) in a similar way to that in which the multilayer perceptron extends the perceptron. It is hoped that by connecting RBFs together in a layered fashion, an equivalent increase in ability can be gained, as is gained from using MLPs instead of single perceptrons. The results of a practical comparison between individual RBFs and MRBF's are also given.
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Networks for approximation and learning
Tomaso Poggio, Federico Girosi · Proceedings of the IEEE · 1990 · 3.3K citations
Artificial Intelligence, Geometric Learning, Engineering +17
Networks and the best approximation property
Federico Girosi, Tomaso Poggio · Biological Cybernetics · 1990 · 895 citations