Applied artificial higher order neural networks for control and recognition / Ming Zhang, [editor].
"In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been prov...
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| Other Authors: | |
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| Format: | Ebook |
| 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: | |
| Online Access: | IGI Global e-Book Collection |
| Summary: | "In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless.Applied Artificial Higher Order Neural Networks for Control and Recognition 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, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students."--Publisher's website. |
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| Item Description: | "Premier Reference Source"--Cover. |
| Physical Description: | 1 online resource (xxiv., 511 pages) : illustrations (some colour). |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1522500642 1522500650 9781522500643 9781522500650 |