In BAsCET's frame (and in ECTOR's too), a concept is a set of nodes in the Concept Network, strongly bound together and simultaneously activated. Thus, when nodes named network, neural, Widrow, Kohonen, and Hoff are in a Concept Network, one can assume that they constitute one concept, different from that constituted by Markov, hidden, though the network node could belong to the hidden Markov network concept.
########### ######
## Kohonen ### ###### Neural Network Node
~~~~~~~~~~ ############|################ ######
~ Markov------network ##|####### Widrow ###
~~|~~~~~~ ##|###\####|#######/######\##### ~~~~~~
~~~|~~~~~~~~~~~|~~##\###|##/---+ ##### Hoff # ~~~~~~ Markov Network node
~ HMM-------hidden # neural-----------/##### ~~~~~~
~~~~~~~~~~~~~~~~~~ #######################
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This is true, only if the Concept Network was designed in order to associate conceptually near symbols.
Let's detail the Network Concepts' components.