How can I get access to network's weights in 'adapt' function after each presentation of an input

I am trying to use 'adapt' function for a dynamic problem by neural network. Is it possible to get access to the network's weights after each presentation of an input

Answer 1

[Greg Heath]

getwb(net)

But how does this help?

[nasibeh]

this function gets the final weights for trained network, but I want all networks weights during the training.

Answer 2

[Greg Heath]

I am assuming that your use of the term "dynamic" does not denote using time series (e.g., NARXNET);

Use a loop of one epoch updates.

Each epoch will result in an additional weight column using getwb.

Clunky, slow and huge storage requirements. However, I cannot think of another way.

Hope this helps.

Greg