There are two Artificial Neural Network topologies − FreeForward and Feedback.
The information flow is unidirectional. A unit sends information to other unit from which it does not receive any information. There are no feedback loops. They are used in pattern generation/recognition/classification. They have fixed inputs and outputs.
Here, feedback loops are allowed. They are used in content addressable memories.