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    Applied Artificial Higher Order Neural Networks for Control and Recognition

Applied Artificial Higher Order Neural Networks for Control and Recognition

Ming Zhang
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      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.
      Format: Hardback CONTRIBUTORS: Ming Zhang EAN: 9781522500636 COUNTRY: United States PAGES: WEIGHT: 1595 g HEIGHT: 229 cm
      PUBLISHED BY: IGI Global DATE PUBLISHED: 2016-05-05 CITY: GENRE: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / Neural Networks, TECHNOLOGY & ENGINEERING / Automation WIDTH: 152 cm SPINE:

      Book Themes:

      Neural networks and fuzzy systems

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      Ming Zhang, Christopher Newport University, USA.
      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.
      Format: Hardback CONTRIBUTORS: Ming Zhang EAN: 9781522500636 COUNTRY: United States PAGES: WEIGHT: 1595 g HEIGHT: 229 cm
      PUBLISHED BY: IGI Global DATE PUBLISHED: 2016-05-05 CITY: GENRE: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / Neural Networks, TECHNOLOGY & ENGINEERING / Automation WIDTH: 152 cm SPINE:

      Book Themes:

      Neural networks and fuzzy systems

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      Be the first to write a review
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      Ming Zhang, Christopher Newport University, USA.

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