Backpropogation Network

Write a C++/Java program to solve the final weights for the following network using Backpropogation network. The network will be train on the following instances :

Assume
Inputs: z = [0.8 0],
Weights between Hidden and Output Layers : w = [-1 1]
Bias on the Output Node O is Wo= [-1]
Weighs between Input and Hidden Layer: v = [2 1 ; 1 2]
Bias on Hidden Unit nodes are Vo= [0 -1],
Desired output : d = 0.9 ,
Learning rate = 0.3 and use unipolar binary sigmoid and bipolar sigmoidal activation function.