title: The target switch algorithm: a constructive learning procedure for feed-forward neural networks.
abstract: We propose an efficient procedure for constructing and training a feed-forward neural network. The network can perform binary classification for binary or analogue input data. We show that the procedure can also be used to construct feedforward neural networks with binary-valued weights. Neural networks with binary-valued weights are potentially straightforward to implement using microelectronic or optical devices and they can also exhibit good generalization.
authors.affiliation: Advanced Computing Research Centre, Bristol University, United Kingdom.
authors.forename: C
authors.initials: C
authors.lastname: Campbell
authors.forename: C P
authors.initials: CP
authors.lastname: Vicente
mesh_terms: D000465:Algorithms; D003491:Cybernetics; D008962:Models, Theoretical; D016571:Neural Networks, Computer