1) Briefly discuss about linear separability. Also, suggest a network that can solve EX-OR problem
2)Explain the architecture of a back propagation network.
3) Explain step by step procedure of single discrete perception training algorithm (SDPTA)
4)State and explain the generalized delta learning rule applied in back propagation algorithm.
5)Explain the general concept of associate memory. Define associate matrix and associate rules
6)Explain self organization mapping
7)Explain the design procedure of Neuro-Controller for a dynamical system with a
case study.
8)Explain the working of Kohonen’s self organizing map and derive weight update relations.
9)Explain about Hopfield neural network.
10)What is gradient type Hopfield network? Differentiate between discrete time Hopfield network and gradient type Hopfield network.