Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

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Release : 2021-02-05
Genre : Computers
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Book Rating : 650/5 ( reviews)

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Emerging Capabilities and Applications of Artificial Higher Order Neural Networks write by Zhang, Ming. This book was released on 2021-02-05. Emerging Capabilities and Applications of Artificial Higher Order Neural Networks available in PDF, EPUB and Kindle. Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are currently using in control and recognition areas for the control signal generating, pattern recognition, nonlinear recognition, classification, and prediction. Since HONNs are open box models, they can be easily accepted and used by individuals working in information science, information technology, management, economics, and business fields. Emerging Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression, pattern recognition, and data prediction, this book is ideally designed for data analysists, IT specialists, engineers, researchers, academics, students, and professionals working in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering research.

Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications

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Release : 2010-02-28
Genre : Computers
Kind :
Book Rating : 120/5 ( reviews)

Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications write by Zhang, Ming. This book was released on 2010-02-28. Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications available in PDF, EPUB and Kindle. "This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.

Artificial Higher Order Neural Networks for Economics and Business

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Release : 2008-07-31
Genre : Computers
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Book Rating : 981/5 ( reviews)

Artificial Higher Order Neural Networks for Economics and Business - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Higher Order Neural Networks for Economics and Business write by Zhang, Ming. This book was released on 2008-07-31. Artificial Higher Order Neural Networks for Economics and Business available in PDF, EPUB and Kindle. "This book is the first book to provide opportunities for millions working in economics, accounting, finance and other business areas education on HONNs, the ease of their usage, and directions on how to obtain more accurate application results. It provides significant, informative advancements in the subject and introduces the HONN group models and adaptive HONNs"--Provided by publisher.

Applied Artificial Higher Order Neural Networks for Control and Recognition

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Release : 2016-05-05
Genre : Computers
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Book Rating : 642/5 ( reviews)

Applied Artificial Higher Order Neural Networks for Control and Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Artificial Higher Order Neural Networks for Control and Recognition write by Zhang, Ming. This book was released on 2016-05-05. Applied Artificial Higher Order Neural Networks for Control and Recognition available in PDF, EPUB and Kindle. 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.

Artificial Higher Order Neural Networks for Modeling and Simulation

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Release : 2012-10-31
Genre : Computers
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Book Rating : 761/5 ( reviews)

Artificial Higher Order Neural Networks for Modeling and Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Higher Order Neural Networks for Modeling and Simulation write by Zhang, Ming. This book was released on 2012-10-31. Artificial Higher Order Neural Networks for Modeling and Simulation available in PDF, EPUB and Kindle. "This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks"--Provided by publisher.