The structure of Artificial Neuron Networks (ANN) consists of:
1. A set of nodes (artificial neurons), analogous to biological neurons in the human brain, organized in layers.
2. A set of weights representing the connections between each neural network layer and the layer beneath it.
3. A set of biases, with one assigned for each node.
4. An activation function that transforms the output of each node in a layer