Neural networks with input gates

Junichi Murata, Tetsushi Noda, Kotaro Hirasawa

Research output: Contribution to journalArticlepeer-review


An architecture of multi layer neural networks is proposed. The networks are equipped with gates on their input channels to control flow of the 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 so that the gate opens when the corresponding input is necessary and closed when not necessary. These gates give the networks a good generalization ability because they can eliminate harmful inputs. And they provides us with an insight into the input-output relationship since they can indicate which input is significant in what situation.

Original languageEnglish
Pages (from-to)283-288
Number of pages6
JournalResearch Reports on Information Science and Electrical Engineering of Kyushu University
Issue number2
Publication statusPublished - Sept 1997

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Electrical and Electronic Engineering


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