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
Neural network modeling and identifi...
~
Tiumentsev, Yury V.
Neural network modeling and identification of dynamical systems
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Neural network modeling and identification of dynamical systems/ Yury V. Tiumentsev, Mikhail V. Egorchev.
作者:
Tiumentsev, Yury V.
其他作者:
Egorchev, Mikhail.
出版者:
London :Academic Press, : 2019.,
面頁冊數:
1 online resource
附註:
Includes index.
標題:
COMPUTERS - General. -
電子資源:
https://www.sciencedirect.com/science/book/9780128152546
ISBN:
9780128154304 (electronic bk.)
Neural network modeling and identification of dynamical systems
Tiumentsev, Yury V.
Neural network modeling and identification of dynamical systems
[electronic resource] /Yury V. Tiumentsev, Mikhail V. Egorchev. - London :Academic Press,2019. - 1 online resource
Includes index.
A new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and trainingOffers application examples of dynamic neural network technologies, primarily related to aircraftProvides an overview of recent achievements and future needs in this area
ISBN: 9780128154304 (electronic bk.)Subjects--Topical Terms:
1344248
COMPUTERS
--General.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA76.87
Dewey Class. No.: 006.32
Neural network modeling and identification of dynamical systems
LDR
:01820cam a2200253 a 4500
001
1043601
006
m o d
007
cr cnu|||unuuu
008
211216s2019 enk o 001 0 eng d
020
$a
9780128154304 (electronic bk.)
020
$a
0128154306 (electronic bk.)
020
$a
9780128152546 (pbk.)
020
$a
0128152540 (pbk.)
035
$a
on1102592819
040
$a
N$T
$b
eng
$e
pn
$c
N$T
$d
N$T
$d
EBLCP
$d
OPELS
$d
OCLCF
$d
YDXIT
$d
UKAHL
$d
OCLCQ
$d
K6U
041
0
$a
eng
050
4
$a
QA76.87
082
0 4
$a
006.32
$2
23
100
1
$a
Tiumentsev, Yury V.
$3
1345130
245
1 0
$a
Neural network modeling and identification of dynamical systems
$h
[electronic resource] /
$c
Yury V. Tiumentsev, Mikhail V. Egorchev.
260
$a
London :
$b
Academic Press,
$c
2019.
300
$a
1 online resource
500
$a
Includes index.
520
$a
A new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and trainingOffers application examples of dynamic neural network technologies, primarily related to aircraftProvides an overview of recent achievements and future needs in this area
588
0
$a
Online resource; title from PDF title page (EBSCO, viewed May 29, 2019).
650
7
$a
COMPUTERS
$x
General.
$2
bisacsh
$3
1344248
650
0
$a
Neural networks (Computer science)
$3
528588
655
0
$a
Electronic books.
$2
local
$3
554714
700
1
$a
Egorchev, Mikhail.
$3
1345131
856
4 0
$u
https://www.sciencedirect.com/science/book/9780128152546
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