Artificial Higher Order Neural Networks For Modeling And Simulation


Artificial Higher Order Neural Networks For Modeling And Simulation
DOWNLOAD eBooks

Download Artificial Higher Order Neural Networks For Modeling And Simulation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Higher Order Neural Networks For Modeling And Simulation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Artificial Higher Order Neural Networks For Modeling And Simulation


Artificial Higher Order Neural Networks For Modeling And Simulation
DOWNLOAD eBooks

Author : Zhang, Ming
language : en
Publisher: IGI Global
Release Date : 2012-10-31

Artificial Higher Order Neural Networks For Modeling And Simulation written by Zhang, Ming and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-31 with Computers categories.


"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 Higher Order Neural Networks For Modeling And Simulation For Computer Science And Engineering


Artificial Higher Order Neural Networks For Modeling And Simulation For Computer Science And Engineering
DOWNLOAD eBooks

Author : Ming Zhang
language : en
Publisher:
Release Date : 2012

Artificial Higher Order Neural Networks For Modeling And Simulation For Computer Science And Engineering written by Ming Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computer engineering categories.


"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 Higher Order Neural Networks For Computer Science And Engineering Trends For Emerging Applications


Artificial Higher Order Neural Networks For Computer Science And Engineering Trends For Emerging Applications
DOWNLOAD eBooks

Author : Zhang, Ming
language : en
Publisher: IGI Global
Release Date : 2010-02-28

Artificial Higher Order Neural Networks For Computer Science And Engineering Trends For Emerging Applications written by Zhang, Ming and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-28 with Computers categories.


"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


Artificial Higher Order Neural Networks For Economics And Business
DOWNLOAD eBooks

Author : Zhang, Ming
language : en
Publisher: IGI Global
Release Date : 2008-07-31

Artificial Higher Order Neural Networks For Economics And Business written by Zhang, Ming and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-31 with Computers categories.


"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.



Emerging Capabilities And Applications Of Artificial Higher Order Neural Networks


Emerging Capabilities And Applications Of Artificial Higher Order Neural Networks
DOWNLOAD eBooks

Author : Zhang, Ming
language : en
Publisher: IGI Global
Release Date : 2021-02-05

Emerging Capabilities And Applications Of Artificial Higher Order Neural Networks written by Zhang, Ming and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-05 with Computers categories.


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.



Applied Artificial Higher Order Neural Networks For Control And Recognition


Applied Artificial Higher Order Neural Networks For Control And Recognition
DOWNLOAD eBooks

Author : Zhang, Ming
language : en
Publisher: IGI Global
Release Date : 2016-05-05

Applied Artificial Higher Order Neural Networks For Control And Recognition written by Zhang, Ming and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-05 with Computers categories.


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.



Nature Inspired Computing Concepts Methodologies Tools And Applications


Nature Inspired Computing Concepts Methodologies Tools And Applications
DOWNLOAD eBooks

Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-07-26

Nature Inspired Computing Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-26 with Computers categories.


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.



Network And Communication Technology Innovations For Web And It Advancement


Network And Communication Technology Innovations For Web And It Advancement
DOWNLOAD eBooks

Author : Alkhatib, Ghazi I.
language : en
Publisher: IGI Global
Release Date : 2012-10-31

Network And Communication Technology Innovations For Web And It Advancement written by Alkhatib, Ghazi I. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-31 with Computers categories.


With the steady stream of new web based information technologies being introduced to organizations, the need for network and communication technologies to provide an easy integration of knowledge and information sharing is essential. Network and Communication Technology Innovations for Web and IT Advancement presents studies on trends, developments, and methods on information technology advancements through network and communication technology. This collection brings together integrated approaches for communication technology and usage for web and IT advancements.



Discrete Time High Order Neural Control


Discrete Time High Order Neural Control
DOWNLOAD eBooks

Author : Edgar N. Sanchez
language : en
Publisher: Springer
Release Date : 2008-06-24

Discrete Time High Order Neural Control written by Edgar N. Sanchez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-24 with Technology & Engineering categories.


Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex systems; the use of high order neural networks for modeling and learning has recently increased. Usingneuralnetworks,controlalgorithmscanbedevelopedtoberobustto uncertainties and modeling errors. The most used NN structures are Feedf- ward networks and Recurrent networks. The latter type o?ers a better suited tool to model and control of nonlinear systems. There exist di?erent training algorithms for neural networks, which, h- ever, normally encounter some technical problems such as local minima, slow learning, and high sensitivity to initial conditions, among others. As a viable alternative, new training algorithms, for example, those based on Kalman ?ltering, have been proposed. There already exists publications about trajectory tracking using neural networks; however, most of those works were developed for continuous-time systems. On the other hand, while extensive literature is available for linear discrete-timecontrolsystem,nonlineardiscrete-timecontroldesigntechniques have not been discussed to the same degree. Besides, discrete-time neural networks are better ?tted for real-time implementations.



Neural Network Modeling And Identification Of Dynamical Systems


Neural Network Modeling And Identification Of Dynamical Systems
DOWNLOAD eBooks

Author : Yuri Tiumentsev
language : en
Publisher: Academic Press
Release Date : 2019-05-17

Neural Network Modeling And Identification Of Dynamical Systems written by Yuri Tiumentsev and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with Science categories.


Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training Offers application examples of dynamic neural network technologies, primarily related to aircraft Provides an overview of recent achievements and future needs in this area