$($a$)$ In theory, list six $(6)$ ways by which a neural network can learn $(3$ marks$)$

$($b$)$ List and write short notes on the six stages that occur in the neural network training model $(3$ marks$)$

$($c$)$ What are hyper parameters in computational intelligence $(1$ mark$)$

$($a$)$ State the function of the following in Biological Neural Network $($BNN$)(2$ marks$)$

$($i$)$

Soma $($ii$)$

$($ii$)$ Dendrites

$($iii$)$ Synapse

$($iv$)$ Axon

$($b$)$ Map the following BNN function to the corresponding ANN $(2$ marks$)$

$\backslash$table$[[$BNN$,$ANN$],[$Axon$,$Output$],[$Dendrites$,$Node$],[$Synapse$,$Input$],[$Som$,\backslash$table$[[$Weights or$],[$Interconnection$]]],[,$Bias$]]$

$($a$)($i$)$ In a Neural network with i input neurons, $h$ hidden layer neurons, and $o$ output neurons: if $i=3,h=4,$ and $o=2,$ draw a diagram showing the connectivity of the network. Do not forget the bias u $(5$ marks$)$

$($ii$).$ How many connections do we have in $($i$)$ above? $($show your workings$)(2$ marks$)$

$($b$)$ A population of three individuals in Genetic Algorithm have fitness $2,3$ and $5,$ respectively. What is the probability for selecting each of them when using a roulette wheel? $(2$ marks$)$