國立高雄大學圖資館 |

語系: 繁體中文

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Effective statistical learning metho...

Denuit, M.

Effective statistical learning methods for actuaries.III,Neural networks and extensions /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Effective statistical learning methods for actuaries.Michel Denuit, Donatien Hainaut, Julien Trufin.
其他題名:	Neural networks and extensions
作者:	Denuit, M.
其他作者:	Hainaut, Donatien,
出版者:	Cham, Switzerland :Springer,c2019.
面頁冊數:	xiii, 250 p. :ill. (some col.) ;24 cm.
標題:	Actuarial science.
ISBN:	9783030258269 (pbk.) :

Effective statistical learning methods for actuaries.III,Neural networks and extensions /
Denuit, M.

Effective statistical learning methods for actuaries.III,Neural networks and extensions /Neural networks and extensionsMichel Denuit, Donatien Hainaut, Julien Trufin. - Cham, Switzerland :Springer,c2019. - xiii, 250 p. :ill. (some col.) ;24 cm. - Springer actuarial lecture notes.

Includes bibliographical references.

Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance.

ISBN: 9783030258269 (pbk.) :EUR$44.99Subjects--Topical Terms:

603592
Actuarial science.

LC Class. No.: HG8781 / .D46 2019

Dewey Class. No.: 368.01

Effective statistical learning methods for actuaries.III,Neural networks and extensions /
LDR:01027nam a2200217 a 4500 001 571043
005 20200807032230.0
008 200908s2019 sz a b 000 0 eng d
009 2cam a2200205 a 450
020 $a 9783030258269 (pbk.) : $c EUR$44.99
020 $z 9783030258276 (ebk.)
035 $a 20200807001
040 $a UK $b eng $c UK
050 4 $a HG8781 $b .D46 2019
082 0 4 $a 368.01 $2 23
100 1 $a Denuit, M. $q (Michel). $3 436621
245 1 0 $a Effective statistical learning methods for actuaries. $n III, $p Neural networks and extensions / $c Michel Denuit, Donatien Hainaut, Julien Trufin.
246 3 0 $a Neural networks and extensions
260 $a Cham, Switzerland : $b Springer, $c c2019.
300 $a xiii, 250 p. : $b ill. (some col.) ; $c 24 cm.
490 0 $a Springer actuarial lecture notes
504 $a Includes bibliographical references.
520 $a Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance.
650 0 $a Actuarial science. $3 603592
650 0 $a Insurance $x Statistical methods. $3 183041
650 0 $a Linear models (Statistics) $3 181866
650 0 $a Neural networks (Computer science) $3 181982
700 1 $a Hainaut, Donatien, $e author. $3 857872
700 1 $a Trufin, Julien, $e author. $3 857873