Full metadata record
DC FieldValueLanguage
dc.contributor.author班榮超en_US
dc.contributor.authorJung-Chao Banen_US
dc.contributor.author林松山en_US
dc.contributor.authorSong-Sun Linen_US
dc.date.accessioned2014-12-12T02:26:18Z-
dc.date.available2014-12-12T02:26:18Z-
dc.date.issued2000en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT890507029en_US
dc.identifier.urihttp://hdl.handle.net/11536/67710-
dc.description.abstract這篇文章主要分成兩個部份,第一個部份是要討論神經網絡(CNN)在有激發係數時,隨著係數在變動時,它的空間謪是如何的變化,第二部份是由第一部份得來的靈感,在討論第一部份時,我們相當於討論一個函數如果中間放一個裂隙,隨著烈隙在變動時,空間謪會有怎樣的變化,所以我們就在第二篇文章中討論裂隙單峰函數隨著裂隙在變動時的空間謪變化.zh_TW
dc.description.abstractWe separate this paper into two parts,in the first one,we discuss the variation of entropy with respecte to the bios-term,and from the first one,it motivates us to consider the entropy of such maps that we put a gap around the critical point symmetrically. Generally,we consider the map is unimodal map,and we get the result of open and dense entropy in the second part of this paper.en_US
dc.language.isoen_USen_US
dc.subject空間謪zh_TW
dc.subject空間混沌zh_TW
dc.subject裂隙函數zh_TW
dc.subjectSpatial Entropyen_US
dc.subjectSpatial Chaosen_US
dc.subjectGap Mapen_US
dc.title神經網絡的空間混沌性zh_TW
dc.titleSpatial Entropy in Cellular Neural Networken_US
dc.typeThesisen_US
dc.contributor.department應用數學系所zh_TW
Appears in Collections:Thesis