Applied artificial higher order neural networks for control and recognition
This book explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications, emphasizing emerging research, practice, and real-world implementation
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Hershey, PA
Information Science Reference, an imprint of IGI Global
[2016]
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| Series: | Advances in computational intelligence and robotics (ACIR) book series
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| Subjects: | |
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| 008 | 221104 20162016paua bi 001 0 eng d | ||
| 020 | |a 9781522500636 (hc) | ||
| 020 | |z 9781522500643 (eISBN) | ||
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| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a TJ 223.M53 |b A675 2016 | ||
| 245 | 0 | 0 | |a Applied artificial higher order neural networks for control and recognition |c Ming Zhang, editor |
| 264 | 1 | |a Hershey, PA |b Information Science Reference, an imprint of IGI Global |c [2016] | |
| 264 | 4 | |c © 2016 | |
| 300 | |a xxiv, 511 pages |b illustrations |c 29 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a A volume in the Advances in computational intelligence and robotics (ACIR) book series |x 2327-0411 | |
| 500 | |a "Premier reference source" -- Book cover | ||
| 504 | |a Includes bibliographical references and index | ||
| 520 | |a This book explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications, emphasizing emerging research, practice, and real-world implementation | ||
| 592 | |a IV-99726 |b 28/11/2017 |c RM 888.90 |h Yuha | ||
| 650 | 0 | |a Automatic control |x Data processing | |
| 650 | 0 | |a Pattern recognition systems |x Data processing | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 700 | 1 | |a Zhang, Ming |d 1949 |e author | |
| 830 | 0 | |a Advances in computational intelligence and robotics (ACIR) book series | |
| 988 | |a 0000115456 | ||
| 999 | |a vtls000059238 |c 103442 |d 103442 | ||


