Answer: (ii) self-organization

Explanation:

ANN features:

• Adaptive learning (i): Ability to learn to perform tasks based on data.
• Self-organization (ii): ANN creates its own representation/organization of information it receives during learning — weights self-adjust to capture structure. Best exemplified by Kohonen Self-Organizing Maps (SOM) and also hidden layer representations in general ANNs.
• What-if analysis is not ANN-specific.
• Supervised learning requires external target labels.

The phrase "creates its own organization of information it receives during learning time" is textbook definition of self-organization (also called self-organisation / unsupervised adaptation).

Hence (ii) self-organization.