語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Evolution of Artificial Neural Devel...
~
Khan, Gul Muhammad.
Evolution of Artificial Neural Development = In search of learning genes /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Evolution of Artificial Neural Development/ by Gul Muhammad Khan.
其他題名:
In search of learning genes /
作者:
Khan, Gul Muhammad.
面頁冊數:
XIII, 139 p. 55 illus., 28 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-319-67466-7
ISBN:
9783319674667
Evolution of Artificial Neural Development = In search of learning genes /
Khan, Gul Muhammad.
Evolution of Artificial Neural Development
In search of learning genes /[electronic resource] :by Gul Muhammad Khan. - 1st ed. 2018. - XIII, 139 p. 55 illus., 28 illus. in color.online resource. - Studies in Computational Intelligence,7251860-949X ;. - Studies in Computational Intelligence,564.
Making the Computer ‘Brained’ -- The Biology of Brain:An insight into the Human Brain -- Evolutionary Computation -- Artificial Neural Network (ANNs) -- Structure and Operation of Cartesian Genetic Programming Developmental Network (CGPDN) Model -- Wumpus World -- Checkers -- Concluding Remarks and Future Directions.
This book presents recent research on the evolution of artificial neural development, and searches for learning genes. It is fascinating to see how all biological cells share virtually the same traits, but humans have a decided edge over other species when it comes to intelligence. Although DNA decides the form each particular species takes, does it also account for intelligent behaviour in living beings? The authors explore the factors that are perceived as intelligent behaviour in living beings and the incorporation of these factors in machines using genetic programming, which ultimately provides a platform for exploring the possibility of machines that can learn by themselves, i.e. that can “learn how to learn”. The book will be of interest not only to the specialized scientific community pursuing machine intelligence, but also general readers who would like to know more about the incorporation of intelligent behaviour in machines, inspired by the human brain.
ISBN: 9783319674667
Standard No.: 10.1007/978-3-319-67466-7doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Evolution of Artificial Neural Development = In search of learning genes /
LDR
:02726nam a22004095i 4500
001
993351
003
DE-He213
005
20200704034511.0
007
cr nn 008mamaa
008
201225s2018 gw | s |||| 0|eng d
020
$a
9783319674667
$9
978-3-319-67466-7
024
7
$a
10.1007/978-3-319-67466-7
$2
doi
035
$a
978-3-319-67466-7
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Khan, Gul Muhammad.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1284818
245
1 0
$a
Evolution of Artificial Neural Development
$h
[electronic resource] :
$b
In search of learning genes /
$c
by Gul Muhammad Khan.
250
$a
1st ed. 2018.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
XIII, 139 p. 55 illus., 28 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Studies in Computational Intelligence,
$x
1860-949X ;
$v
725
505
0
$a
Making the Computer ‘Brained’ -- The Biology of Brain:An insight into the Human Brain -- Evolutionary Computation -- Artificial Neural Network (ANNs) -- Structure and Operation of Cartesian Genetic Programming Developmental Network (CGPDN) Model -- Wumpus World -- Checkers -- Concluding Remarks and Future Directions.
520
$a
This book presents recent research on the evolution of artificial neural development, and searches for learning genes. It is fascinating to see how all biological cells share virtually the same traits, but humans have a decided edge over other species when it comes to intelligence. Although DNA decides the form each particular species takes, does it also account for intelligent behaviour in living beings? The authors explore the factors that are perceived as intelligent behaviour in living beings and the incorporation of these factors in machines using genetic programming, which ultimately provides a platform for exploring the possibility of machines that can learn by themselves, i.e. that can “learn how to learn”. The book will be of interest not only to the specialized scientific community pursuing machine intelligence, but also general readers who would like to know more about the incorporation of intelligent behaviour in machines, inspired by the human brain.
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Artificial intelligence.
$3
559380
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Artificial Intelligence.
$3
646849
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319674643
776
0 8
$i
Printed edition:
$z
9783319674650
776
0 8
$i
Printed edition:
$z
9783319884356
830
0
$a
Studies in Computational Intelligence,
$x
1860-949X ;
$v
564
$3
1253640
856
4 0
$u
https://doi.org/10.1007/978-3-319-67466-7
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入