Draw a suitable 2^nd generation artificial neural network that could be used to predict the price of a house, given the land area and proximity to the town centre. Include activation functions, and some example synaptic weights.

Describe, preferably using some mathematical notation, how forward propagation works. Briefly describe also how error backpropagation works (with or without notation).