Neural network endowed with symbolic processing ability

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Vogiatzis, Dimitrios en
dc.contributor.author Stafylopatis, Andreas en
dc.date.accessioned 2014-03-01T02:41:34Z
dc.date.available 2014-03-01T02:41:34Z
dc.date.issued 1999 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30538
dc.subject Reinforcement Learning en
dc.subject Neural Network en
dc.subject Reward Dependence en
dc.subject.other Functions en
dc.subject.other Learning systems en
dc.subject.other Reinforcement learning en
dc.subject.other Neural networks en
dc.title Neural network endowed with symbolic processing ability en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IJCNN.1999.830809 en
heal.identifier.secondary http://dx.doi.org/10.1109/IJCNN.1999.830809 en
heal.publicationDate 1999 en
heal.abstract We propose a neural network method for the generation of symbolic expressions using reinforcement learning. According to the proposed method, a human decides on the kind and number of primitive functions which, with the appropriate composition (in the mathematical sense), can represent a mapping between two domains. The appropriate composition is achieved by an agent which tries many compositions and receives a reward depending on the quality of the composed function. en
heal.publisher IEEE, United States en
heal.journalName Proceedings of the International Joint Conference on Neural Networks en
dc.identifier.doi 10.1109/IJCNN.1999.830809 en
dc.identifier.volume 6 en
dc.identifier.spage 4054 en
dc.identifier.epage 4058 en

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record