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عنوان
Neural networks for robotics: an engineering perspective

پدید آورنده
/ Nancy Arana-Daniel, Carlos Lopez-Franco, Alma Y. Alanis.,Arana-Daniel, Nancy,

موضوع
Robots--Control systems.,Neural networks (Computer science),Robots, Neural networks, Computer science.

رده

کتابخانه
Central library and document university of Kurdistan

محل استقرار
استان: Kurdistan ـ شهر: Sanandaj

Central library and document university of Kurdistan

تماس با کتابخانه : 9-08733624006 و 08733664600

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9780815378686 (hardback : acid-free paper)
Erroneous ISBN
9781351231794 (ebook)

NATIONAL BIBLIOGRAPHY NUMBER

Number
3997

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Neural networks for robotics: an engineering perspective
General Material Designation
[electronic resources]
First Statement of Responsibility
/ Nancy Arana-Daniel, Carlos Lopez-Franco, Alma Y. Alanis.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boca Raton, FL
Name of Publisher, Distributor, etc.
: CRC Press/Taylor & Francis Group
Date of Publication, Distribution, etc.
, 2019.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xvii, 209 pages.
Other Physical Details
: illustrations (chiefly color), tables.

GENERAL NOTES

Text of Note
"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references (pages 195-207) and index.

SUMMARY OR ABSTRACT

Text of Note
The book offers the reader the insight on artificial neural networks for giving a robot a high level of autonomy tasks such as navigation, object recognition, and clustering, with real-time implementations. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures to solve different kinds of problems encountered in autonomous navigation and object recognition problems. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control--

TOPICAL NAME USED AS SUBJECT

Entry Element
Robots--Control systems.
Entry Element
Neural networks (Computer science)

UNCONTROLLED SUBJECT TERMS

Subject Term
Robots, Neural networks, Computer science.

DEWEY DECIMAL CLASSIFICATION

Edition
23

PERSONAL NAME - PRIMARY RESPONSIBILITY

Entry Element
Arana-Daniel, Nancy,
Relator Code
Author

PERSONAL NAME - SECONDARY RESPONSIBILITY

Entry Element
Lopez-Franco, Carlos,
Entry Element
Alanis, Alma Y.,
Relator Code
Cllaborator
Relator Code
Cllaborator

ORIGINATING SOURCE

Country
ایران
Agency
Central Library of the Kurdistan University
Date of Transaction
20250531112235.0
Cataloguing Rules (Descriptive Conventions))
rda

e

BL
280328

a
Y

Proposal/Bug Report

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