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Intelligent Systems - Paperback, by Teodorescu Horia-Nicolai Mlynek - Very Good
US $174.32
ApproximatelyS$ 224.11
Condition:
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Located in: Philadelphia, Pennsylvania, United States
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eBay item number:125178983197
Item specifics
- Condition
- Book Title
- Intelligent Systems and Interfaces (International Series in Intel
- ISBN
- 9781461369806
About this product
Product Identifiers
Publisher
Springer
ISBN-10
1461369800
ISBN-13
9781461369806
eBay Product ID (ePID)
203492830
Product Key Features
Number of Pages
Xxxi, 452 Pages
Language
English
Publication Name
Intelligent Systems and Interfaces
Publication Year
2013
Subject
Intelligence (Ai) & Semantics, General, System Theory, Logic
Type
Textbook
Subject Area
Mathematics, Computers, Science
Series
International Series in Intelligent Technologies Ser.
Format
Trade Paperback
Dimensions
Item Weight
27.2 Oz
Item Length
9.4 in
Item Width
6.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
21
Series Volume Number
15
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.3
Table Of Content
1 : Intelligent Agents and Bio-Inspired Systems.- 1. A tutoring based approach to the development of intelligent agents.- 2. An object-oriented framework for building collaborative network agents.- 3. Navigation: Animals as Autonomous Robots.- 4. From configurable circuits to bio-inspired systems.- 2: Intelligent Data Processing.- 5. Fuzzy data mining.- 6. Feature-oriented hybrid neural adaptive systems and applications.- 7. Algebraic neuro-fuzzy systems and applications.- 3: Interfaces.- 8. Neuro-fuzzy approach to natural language understanding and processing. Part I: Neuro-fuzzy device.- 9. Neuro-fuzzy approach to natural language understanding and processing. Part II: Neuro-fuzzy learning algorithms.- 10. Graph matching and similarity.- 4: Applications and High-tech Management.- 11. Diagnosis systems and strategies: principles, fuzzy and neural approaches.- 12. Intelligent non-destructive testing and evaluation with industrial applications.- 13. Managing high-tech projects. Part I.- 14. Managing high-tech projects. Part II.- Index of Terms.
Synopsis
The field of "intelligent interfaces and systems" has seen a fast growth last decade. An impressive number of papers, conference tutorials, and volumes were devoted to the topic. Ten years ago, intelligent systems constituted a rather exotic topic and many were skeptic that such systems amount to more than a nice name. Nowadays, intelligent systems represent a powerful tool in many applications, in all industrial fields. Their development evolved on both the horizontal dimension, with a constantly increasing number of applications, and on the vertical dimension, by including more capabilities going from sensoric to neurofuzzy systems, intelligent agents, speech and image understanding, and decision making in complex environments. The domain constituted by the intelligent systems is now too large to be covered in a single volume. Consequently, the Editors considered a balance between several selected sub-fields, to insure the unity of the volume, yet allowing a large enough horizon and a consistent understanding of the entire field, including real-life applications. The volume represents a comprehensive coverage of the field, including fundamental aspects, software-, sensors-, and hardware-related issues. Moreover, the contributors to this volume offer, beyond a systematic overview of intelligent interfaces and systems, deep, practical knowledge in building and using intelligent systems in various applications. A special emphasis is on specific aspects and requirements in applications. In addition, the second Editor proposes two chapters addressing the management of projects dealing with intelligent systems.
LC Classification Number
QA8.9-10.3
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