語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Parallel genetic algorithms for fina...
~
Bauto, Joao.
FindBook
Google Book
Amazon
博客來
Parallel genetic algorithms for financial pattern discovery using GPUs
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Parallel genetic algorithms for financial pattern discovery using GPUs/ by Joao Bauto, Rui Neves, Nuno Horta.
作者:
Bauto, Joao.
其他作者:
Neves, Rui.
出版者:
Cham :Springer International Publishing : : 2018.,
面頁冊數:
xiv, 91 p. :ill., digital ;24 cm.
內容註:
Introduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field.
Contained By:
Springer eBooks
標題:
Genetic algorithms. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-73329-6
ISBN:
9783319733296
Parallel genetic algorithms for financial pattern discovery using GPUs
Bauto, Joao.
Parallel genetic algorithms for financial pattern discovery using GPUs
[electronic resource] /by Joao Bauto, Rui Neves, Nuno Horta. - Cham :Springer International Publishing :2018. - xiv, 91 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..
Introduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field.
This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable of exploring the identified points of parallelism that simply focus on accelerating the heavy duty fitness function to a full GPU accelerated GA.
ISBN: 9783319733296
Standard No.: 10.1007/978-3-319-73329-6doiSubjects--Topical Terms:
533907
Genetic algorithms.
LC Class. No.: QA76.623
Dewey Class. No.: 006.3823
Parallel genetic algorithms for financial pattern discovery using GPUs
LDR
:01641nmm a2200325 a 4500
001
2133951
003
DE-He213
005
20180204002757.0
006
m d
007
cr nn 008maaau
008
181005s2018 gw s 0 eng d
020
$a
9783319733296
$q
(electronic bk.)
020
$a
9783319733289
$q
(paper)
024
7
$a
10.1007/978-3-319-73329-6
$2
doi
035
$a
978-3-319-73329-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.623
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
006.3823
$2
23
090
$a
QA76.623
$b
.B352 2018
100
1
$a
Bauto, Joao.
$3
3301932
245
1 0
$a
Parallel genetic algorithms for financial pattern discovery using GPUs
$h
[electronic resource] /
$c
by Joao Bauto, Rui Neves, Nuno Horta.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
xiv, 91 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in applied sciences and technology,
$x
2191-530X
505
0
$a
Introduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field.
520
$a
This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable of exploring the identified points of parallelism that simply focus on accelerating the heavy duty fitness function to a full GPU accelerated GA.
650
0
$a
Genetic algorithms.
$3
533907
650
0
$a
Parallel processing (Electronic computers)
$3
653284
650
0
$a
Pattern recognition systems.
$3
527885
650
1 4
$a
Engineering.
$3
586835
650
2 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Financial Engineering.
$3
2191344
650
2 4
$a
Quantitative Finance.
$3
891090
700
1
$a
Neves, Rui.
$3
3301933
700
1
$a
Horta, Nuno.
$3
2134696
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in applied sciences and technology.
$3
1565541
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-73329-6
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9342686
電子資源
11.線上閱覽_V
電子書
EB QA76.623
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入