Conscience bias initialization function
Syntax
b = initcon(s,pr)
Description
initcon is a bias initialization function that initializes biases for learning with the learncon learning function.
initcon (S,PR) takes two arguments,
S - Number of rows (neurons).
PR - R x 2 matrix of R = [Pmin Pmax], default = [1 1].
and returns an S x 1 bias vector.
Note that for biases R is always 1. initcon could also be used to initialize weights, but it is not recommended for that purpose.
Examples
Here initial bias values are calculated for a 5 neuron layer.
b = initcon(5)
Network Use
You can create a standard network that uses initcon to initialize weights by calling newc.
To prepare the bias of layer i of a custom network to initialize with initcon:
- 1
- Set
net.initFcn to 'initlay'. (net.initParam will automatically become
initlay's default parameters.)
- 2
- Set
net.layers{i}.initFcn to 'initwb'.
- 3
- Set
net.biases{i}.initFcn to 'initcon'.
To initialize the network call init. See newc for initialization examples.
Algorithm
learncon updates biases so that each bias value b(i) is a function of the average output c(i) of the neuron i associated with the bias.
initcon gets initial bias values by assuming that each neuron has responded to equal numbers of vectors in the "past".
See Also
initwb, initlay, init, learncon
[ Previous | Help Desk | Next ]