Neural networks: A guided tour
S Haykin - Nonlinear Biomedical Signal Processing, 2000 - Wiley Online Library
S Haykin
Nonlinear Biomedical Signal Processing, 2000•Wiley Online LibraryBasically, learning is a process by which the free parameters (ie, synaptic weights and bias
levels) of a neural network are adapted through a continuing process of stimulation by the
environment in which the network is embedded. The type of learning is determined by the
manner in which the parameter changes take place. Specifically, learning machines may be
classified as follows:
levels) of a neural network are adapted through a continuing process of stimulation by the
environment in which the network is embedded. The type of learning is determined by the
manner in which the parameter changes take place. Specifically, learning machines may be
classified as follows:
Basically, learning is a process by which the free parameters (ie, synaptic weights and bias levels) of a neural network are adapted through a continuing process of stimulation by the environment in which the network is embedded. The type of learning is determined by the manner in which the parameter changes take place. Specifically, learning machines may be classified as follows: