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Applied Artificial Higher Order Neural Networks for Control and Recognition

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

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Book Synopsis Applied Artificial Higher Order Neural Networks for Control and Recognition by : Zhang, Ming

Download or read book Applied Artificial Higher Order Neural Networks for Control and Recognition written by Zhang, Ming. This book was released on 2016-05-05. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

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

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Book Synopsis Emerging Capabilities and Applications of Artificial Higher Order Neural Networks by : Zhang, Ming

Download or read book Emerging Capabilities and Applications of Artificial Higher Order Neural Networks written by Zhang, Ming. This book was released on 2021-02-05. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

2016-07-26 Computers
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Release : 2016-07-26
Genre : Computers
Kind : eBook
Book Rating : 892/5 ( reviews)

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Book Synopsis Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources. This book was released on 2016-07-26. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Artificial Higher Order Neural Networks for Modeling and Simulation

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

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Book Synopsis Artificial Higher Order Neural Networks for Modeling and Simulation by : Zhang, Ming

Download or read book Artificial Higher Order Neural Networks for Modeling and Simulation written by Zhang, Ming. This book was released on 2012-10-31. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Artificial Neural Networks for Engineering Applications

2019-03-15 Science
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Release : 2019-03-15
Genre : Science
Kind : eBook
Book Rating : 474/5 ( reviews)

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Book Synopsis Artificial Neural Networks for Engineering Applications by : Alma Y. Alanis

Download or read book Artificial Neural Networks for Engineering Applications written by Alma Y. Alanis. This book was released on 2019-03-15. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications. Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering Contains all the theory required to use the proposed methodologies for different applications

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