New Functions :: Radial Basis Networks (Neural Network Toolbox)

Neural Network Toolbox

New Functions

This chapter introduced the following functions.

Function
Description

compet
Competitive transfer function.

dist
Euclidean distance weight function.

dotprod
Dot product weight function.

ind2vec
Convert indices to vectors.

negdist
Negative euclidean distance weight function.

netprod
Product net input function.

newgrnn
Design a generalized regression neural network.

newpnn
Design a probabilistic neural network.

newrb
Design a radial basis network.

newrbe
Design an exact radial basis network.

normprod
Normalized dot product weight function.

radbas
Radial basis transfer function.

vec2ind
Convert vectors to indices.

Function	Description
`compet`	Competitive transfer function.
`dist`	Euclidean distance weight function.
`dotprod`	Dot product weight function.
`ind2vec`	Convert indices to vectors.
`negdist`	Negative euclidean distance weight function.
`netprod`	Product net input function.
`newgrnn`	Design a generalized regression neural network.
`newpnn`	Design a probabilistic neural network.
`newrb`	Design a radial basis network.
`newrbe`	Design an exact radial basis network.
`normprod`	Normalized dot product weight function.
`radbas`	Radial basis transfer function.
`vec2ind`	Convert vectors to indices.

Figures Self-Organizing and Learn. Vector Quant. Nets