Question

what are the different problem domains of artificial neural network ?

Answer 1

when a new model of neural network (the domain model) is proposed. In

this model the neurons are joined together into more large groups (domains),

and accordingly the updating rule is modified. It is shown that memory capacity

grows linearly as function of the domain size. In optimization tasks, this kind of

neural network allows one to find more deep local minima of the energy than

the standard asynchronous dynamics.

Answer 2

Problem domains of 'Artificial Neural Networks' (ANN):

• 'Hardware dependence': 'Artificial neural networks' require processors with 'parallel processing power', by their structure.
• 'Unexplained functioning of the network': When 'ANN gives a probing solution', it does not give a 'clue as to why and how'.  
• 'Proper network structure assurance': There is 'no specific rule' for 'artificial neural network structure determination'.
• 'The challenge of showing the network the problem': 'ANNs' can work with 'numerical information'. 'Problems' have to be 'translated into numerical values' before being introduced to 'ANN'.

 

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