Apply a one iteration of feed forward and back propagation on the given neural network. Show how to update the weights and minimize the error.

Given that target $Y=0\mathrm{.}8,x1=1\mathrm{.}6,x2=1\mathrm{.}4,$ using sigmoid activation function net $\{$:$)=\frac{1}{1+e^{-c\text{m}\text{e}\text{t}}}$ and learning rate $=0\mathrm{.}3.$