Artificial neural networks with input gates

Junichi Murata, Tetsushi Noda, Kotaro Hirasawa

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

An architecture of multi-layer neural networks is proposed. The networks are equipped with gates on their input channels in order to control the flow of input signals. A gate on an input channel opens and closes depending on the current values of the other input signals. The dependency is automatically determined based on training data. These gates give the networks a good generalization ability because they can eliminate harmful inputs. Also they can indicate which input is significant in which situations, and therefore they provide us with an insight into the input-output relationship underlying the training data.

Original languageEnglish
Pages480-485
Number of pages6
Publication statusPublished - Jan 1 1998
EventProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) - Anchorage, AK, USA
Duration: May 4 1998May 9 1998

Other

OtherProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3)
CityAnchorage, AK, USA
Period5/4/985/9/98

All Science Journal Classification (ASJC) codes

  • Software

Fingerprint Dive into the research topics of 'Artificial neural networks with input gates'. Together they form a unique fingerprint.

Cite this