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Goldberg says such easy commentary and criticism crowds out any serious analysis of what function network anchors now play in society.
Combining the Radial Basis Function Network (RBFN) and Orthogonal Experimental Design (OED), an Enhanced Radial Basis Function Network (ERBFN) has been proposed for the solving process.
A radial basis function network (RBFN) was constructed using the experimental results of the L9 catalysts.
Radial basis function network, a tool of ANN, is employed to predict the above outcomes.
The radial basis function network (RBFN) is adopted to construct the prediction model.
The cognitive component is a single hidden layer radial basis function network with evolving architecture.
The cognitive component is a radial basis function network with evolving architecture.
Two types of RBFN architectures: Generalized Radial Basis Function Network (GRBFN) and Fuzzy-C-Mean based Radial Basis Function Network (FCMRBFN) were used to predict the machinery noise in a large opencast bauxite mine.
For this reason, this study proposes Radial Basis Function Network (RBFN) for possible further improvement in impact identification task.
This paper proposes a scheme for online voltage stability monitoring using an enhanced Radial Basis Function Network (RBFN).
Two types of ANN architectures, namely multi-layer perceptron network (MLP) and a radial basis function network (RBF) were implemented.
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