In the regualar Neural Neural Network node, you can select hidden and target layer combination and activation functions ( if you select 'user' under properties-network-architecture) but it appears you can't select general architectures such as Single layer, cascade, block etc.
With the autonerual node, it appears you can select these general architectures (such as cascade or block etc. ) and you can specify activation functions (but not combination functions)
I have a couple of questions regarding these details.
1) Am I missing something? Why can't you specify (cascade, block, funnel etc.) in the regular neural net node and why can't you specify activation functions in the auto neural node?
2) With auto neural, if you select all of the activation functions that you think may apply (considering if your targe is numeric or qualitative) will EM select the optimal type of activation functions for each layer? ( is that the purpose) And again, what about combination functions?
Thanks