In this techniques, although a teacher is available, it does not tell the expected answer, but only tells if the computed output is correct or incorrect. A reward is given for a correct answer computed and a penalty for a wrong answer. This information helps the network in its learning process
Note : Supervised and unsupervised learnings are the most popular forms of learning. Unsupervised learning is very common in biological systems
It is also important for artificial neural networks : training data are not always available for the intended application of the neural network