C# Класс Encog.Neural.Networks.Pattern.RadialBasisPattern

A radial basis function (RBF) network uses several radial basis functions to provide a more dynamic hidden layer activation function than many other types of neural network. It consists of a input, output and hidden layer.
Наследование: INeuralNetworkPattern
Показать файл Открыть проект Примеры использования класса

Открытые методы

Метод Описание
AddHiddenLayer ( int count ) : void

Add the hidden layer, this should be called once, as a RBF has a single hidden layer.
Clear ( ) : void

Clear out any hidden neurons.
Generate ( ) : BasicNetwork

Generate the RBF network.

Описание методов

AddHiddenLayer() публичный Метод

Add the hidden layer, this should be called once, as a RBF has a single hidden layer.
public AddHiddenLayer ( int count ) : void
count int The number of neurons in the hidden layer.
Результат void

Clear() публичный Метод

Clear out any hidden neurons.
public Clear ( ) : void
Результат void

Generate() публичный Метод

Generate the RBF network.
public Generate ( ) : BasicNetwork
Результат BasicNetwork