Consider an MLP network with two layers. The first layer consists of two neurons, and the second layer has one neuron. The training is underway. {p1=(10.5),t=1},{p2=(13),t=1},{p3=(35),t=1} The initial conditions are: W1=[1142],b1=(10.5),W2=[21],b2=[1] The activation functions of the first layer are: f11=161n2 and f12=41(n1); and the activation function of the second layer is: f2=logsig(n). The learning rate is: =0.3 Performing one iteration with the simple backpropagation method (SDBP)