Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Intelligent random walkan approach b...
~
Khomami, M. Daliri.
Intelligent random walkan approach based on learning automata /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Intelligent random walkby Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi.
Reminder of title:
an approach based on learning automata /
Author:
Saghiri, Ali Mohammad.
other author:
Khomami, M. Daliri.
Published:
Cham :Springer International Publishing :2019.
Description:
ix, 55 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Random walks (Mathematics)Data processing.
Online resource:
https://doi.org/10.1007/978-3-030-10883-0
ISBN:
9783030108830$q(electronic bk.)
Intelligent random walkan approach based on learning automata /
Saghiri, Ali Mohammad.
Intelligent random walk
an approach based on learning automata /[electronic resource] :by Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi. - Cham :Springer International Publishing :2019. - ix, 55 p. :ill., digital ;24 cm. - SpringerBriefs in computational intelligence,2625-3704. - SpringerBriefs in computational intelligence..
Random walk algorithms: Definitions, weaknesses, and learning automata based approach -- Intelligent Models of Random Walk -- Applications -- Conclusions.
This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.
ISBN: 9783030108830$q(electronic bk.)
Standard No.: 10.1007/978-3-030-10883-0doiSubjects--Topical Terms:
837866
Random walks (Mathematics)
--Data processing.
LC Class. No.: QA274.73 / .S24 2019
Dewey Class. No.: 519.282
Intelligent random walkan approach based on learning automata /
LDR
:02029nmm a2200337 a 4500
001
555645
003
DE-He213
005
20190705103642.0
006
m d
007
cr nn 008maaau
008
191121s2019 gw s 0 eng d
020
$a
9783030108830$q(electronic bk.)
020
$a
9783030108823$q(paper)
024
7
$a
10.1007/978-3-030-10883-0
$2
doi
035
$a
978-3-030-10883-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA274.73
$b
.S24 2019
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
519.282
$2
23
090
$a
QA274.73
$b
.S129 2019
100
1
$a
Saghiri, Ali Mohammad.
$3
837863
245
1 0
$a
Intelligent random walk
$h
[electronic resource] :
$b
an approach based on learning automata /
$c
by Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
ix, 55 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in computational intelligence,
$x
2625-3704
505
0
$a
Random walk algorithms: Definitions, weaknesses, and learning automata based approach -- Intelligent Models of Random Walk -- Applications -- Conclusions.
520
$a
This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.
650
0
$a
Random walks (Mathematics)
$x
Data processing.
$3
837866
650
0
$a
Machine learning.
$3
188639
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Robotics and Automation.
$3
357111
650
2 4
$a
Machine Learning.
$3
833608
650
2 4
$a
Mathematical Models of Cognitive Processes and Neural Networks.
$3
567118
700
1
$a
Khomami, M. Daliri.
$3
837864
700
1
$a
Meybodi, Mohammad Reza.
$3
837865
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in computational intelligence.
$3
833227
856
4 0
$u
https://doi.org/10.1007/978-3-030-10883-0
950
$a
Intelligent Technologies and Robotics (Springer-42732)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000168457
電子館藏
1圖書
電子書
EB QA274.73 S129 2019 2019
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-10883-0
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login