Given three inputs and two outputs Adaline NN,

a) Draw the overall NN architecture

b) Compute the theoretical and practical value of the learning coefficient.

c) Assume suitable input/output values, compute weights change for only one pattern then write an algorithm showing how weights are updated for one iteration

Note, the solution needs less than 30 minutes, please

soft computing

Given three inputs and two outputs Adaline NN,

a) Draw the overall NN architecture

b) Compute the theoretical and practical value of the learning coefficient.

c) Assume suitable input/output values, compute weights change for only one pattern then write an algorithm showing how weights are updated for one iteration.