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The Process Whereby a Neural Network Learns to Associate an Input

question 8

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The process whereby a neural network learns to associate an input pattern with an output pattern, by comparing actual responses against correct ones, is called:


Definitions:

Prioritizing Issues

The act of arranging or dealing with problems, tasks, or interests in order of importance or urgency.

Less Important

Items or factors considered to have lower priority or significance in comparison to others in a given context.

Superiority-inferiority Patterns

Interaction patterns characterized by one party's dominance over another, leading to imbalances in power and communication.

Distortions

The act of twisting or altering something out of its true, natural, or original state, often leading to misconceptions or inaccuracies.

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