13.6. Learning
The property that is of primary significance for a neural network is the ability of the network to learn from its environment, and to improve its performance through learning. The improvement in performance takes place over time in accordance with some prescribed measures. A neural network learns about its environment through an interactive process of adjustment applied to its synaptic weights and bias levels. Learning in neural networks is defined as ‘Learning is a process by which the free parameters of a neural network are adapted. The type of learning is determined by the manner in which the parameter change takes place.’
This definition of the learning process implies the following sequence of events:
The neural network is ...
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