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Applied Artificial Higher Order Neural Networks for Control and Recognition

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by Ming Zhang
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Applied Artificial Higher Order Neural Networks for Control and Recognition by Ming Zhang

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.

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Ebook Details
Pages: 511
Size: 29.9 MB
Publisher: Information Science Reference
Date published:   2016
ISBN: 9781522500643 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Computers > Artificial Intelligence
Nonfiction > Computers > Computer Vision
Nonfiction > Computers > Neural Networks

This author has products in the following categories:

Nonfiction > Social Science > Minority Studies
Nonfiction > Political Science > Public Policy > City Planning & Urban Dev.
Nonfiction > Non-Classifiable
Nonfiction > Computers > Artificial Intelligence
Nonfiction > Computers > Internet > Security
Nonfiction > Computers > Programming > Software Development
Nonfiction > Business & Economics > Finance
Nonfiction > Computers > Natural Language Processing
Nonfiction > Computers > Neural Networks
Nonfiction > Business & Economics
Nonfiction > Computers > Social Aspects
Nonfiction > Medical > Surgery
Nonfiction > Computers > Computer Vision

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