Question: Value and initial weight vectors for $3$ input neurons in an artificial neural network;

$p_1=\left[\begin{array}{c}-1\\ 0\end{array}\right],p_2=\left[\begin{array}{c}0\\ 1\end{array}\right],p_3=\left[\begin{array}{c}\frac{1}{\sqrt[\phantom{2}]{2}}\\ \frac{1}{\sqrt[\phantom{2}]{2}}\end{array}\right],{?}_{1}w=\left[\begin{array}{c}0\\ 1\end{array}\right],{?}_{2}w=\left[\begin{array}{c}-\frac{2}{\sqrt[\phantom{2}]{5}}\\ \frac{1}{\sqrt[\phantom{2}]{5}}\end{array}\right],{?}_{3}w=\left[\begin{array}{c}-\frac{1}{\sqrt[\phantom{2}]{5}}\\ \frac{2}{\sqrt[\phantom{2}]{5}}\end{array}\right]$

given as$.$ Show the input values and weight vectors on the graph. Find the updated weight vectors of

the artificial neural network trained with the Competitive Network approach $($use Kohonen rule and

learning rate $=0\mathrm{.}5.$ Show the weights vector you just found on the graph.