fitTeachNet1 {TeachNet}R Documentation

One step in backpropagation

Description

One step in the backpropagation algorithm for a one hidden layer network

Usage

fitTeachNet1(data, weights, hidden.structure, learning.rate, f, f_d, decay, m_f, er)

Arguments

data

the data set

weights

current weights

hidden.structure

the number of neurons in the hidden layer

learning.rate

rate by which factor for backpropagation gets smaller

f

activation function

f_d

derivative of activation function

decay

value of weight decay

m_f

interim value m

er

error function

Value

returns new the weight after gradient update

Author(s)

Georg Steinbuss


[Package TeachNet version 0.7.1 Index]