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Explain in detail the characteristics of the following artificial neural networks.
(a) Recurrent Neural Networks.(b) Self-organising Mapping Neural Networks.(c) Radial Basis Function Neural networks.
(a) What is meant by supervised training of neural networks?(b) What are characteristics properties of artificial neural networks in general? (c) For sufficient hidden neurons, one hidden layer have the property which is called universal approximation.
What is meant by universal approximation and what is the drawback of a large lnumber of hidden neurons?
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