Applications Of Artificial Neural Networks For Nonlinear Data
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Applications Of Artificial Neural Networks For Nonlinear Data Concepts And Categorization Chapter 1 Literature Survey For Applications Of Artificial Neural Networks Chapter 2 Comprehensive Modelling Of Ann Chapter 3 Fundamental Categories Of Artificial Neural Networks Chapter 4 Applications Of Ann For Agriculture Using Remote Sensed Data Chapter 5 Classification Approach For Sentiment Analysis Using Machine Learning
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Author : Hiral Ashil Patel
language : en
Publisher: Engineering Science Reference
Release Date : 2021
Applications Of Artificial Neural Networks For Nonlinear Data Concepts And Categorization Chapter 1 Literature Survey For Applications Of Artificial Neural Networks Chapter 2 Comprehensive Modelling Of Ann Chapter 3 Fundamental Categories Of Artificial Neural Networks Chapter 4 Applications Of Ann For Agriculture Using Remote Sensed Data Chapter 5 Classification Approach For Sentiment Analysis Using Machine Learning written by Hiral Ashil Patel and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Neural networks (Computer science) categories.
"This book is a collection of research on the contemporary nature of artificial neural networks and their specific implementations within data analysis"--
Applications Of Artificial Neural Networks For Nonlinear Data
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Author : Patel, Hiral Ashil
language : en
Publisher: IGI Global
Release Date : 2020-09-25
Applications Of Artificial Neural Networks For Nonlinear Data written by Patel, Hiral Ashil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-25 with Computers categories.
Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems.
Emerging Capabilities And Applications Of Artificial Higher Order Neural Networks
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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.
Artificial Neural Networks For Engineering Applications
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Author : Alma Y. Alanis
language : en
Publisher: Academic Press
Release Date : 2019-03-15
Artificial Neural Networks For Engineering Applications written by Alma Y. Alanis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Science categories.
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
Artificial Neural Networks For Modelling And Control Of Non Linear Systems
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Author : Johan A.K. Suykens
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Artificial Neural Networks For Modelling And Control Of Non Linear Systems written by Johan A.K. Suykens and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and off-line learning methods for the interconnection weights. However, dynamic models that contain neural network architectures might be highly non-linear and difficult to analyse as a result. Artificial Neural Networks for Modelling and Control of Non-Linear Systems investigates the subject from a system theoretical point of view. However the mathematical theory that is required from the reader is limited to matrix calculus, basic analysis, differential equations and basic linear system theory. No preliminary knowledge of neural networks is explicitly required. The book presents both classical and novel network architectures and learning algorithms for modelling and control. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems. A major contribution of this book is to introduce NLq Theory as an extension towards modern control theory, in order to analyze and synthesize non-linear systems that contain linear together with static non-linear operators that satisfy a sector condition: neural state space control systems are an example. Moreover, it turns out that NLq Theory is unifying with respect to many problems arising in neural networks, systems and control. Examples show that complex non-linear systems can be modelled and controlled within NLq theory, including mastering chaos. The didactic flavor of this book makes it suitable for use as a text for a course on Neural Networks. In addition, researchers and designers will find many important new techniques, in particular NLq emTheory, that have applications in control theory, system theory, circuit theory and Time Series Analysis.
Artificial Neural Network Applications In Business And Engineering
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Author : Do, Quang Hung
language : en
Publisher: IGI Global
Release Date : 2021-01-08
Artificial Neural Network Applications In Business And Engineering written by Do, Quang Hung and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-08 with Computers categories.
In today’s modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.
Advanced Applications For Artificial Neural Networks
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Author : Adel El-Shahat
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-02-28
Advanced Applications For Artificial Neural Networks written by Adel El-Shahat and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-28 with Computers categories.
In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.
Application Of Artificial Neural Networks In Nonlinear Analysis Of Trusses
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Author : J. Alam
language : en
Publisher:
Release Date : 1991
Application Of Artificial Neural Networks In Nonlinear Analysis Of Trusses written by J. Alam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Analysis And Applications Of Artificial Neural Networks
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Author : Leo P. J. Veelenturf
language : en
Publisher:
Release Date : 1995
Analysis And Applications Of Artificial Neural Networks written by Leo P. J. Veelenturf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
This volume is an analysis of the behaviour of the three types of neural networks: the binary perceptron, the continuous perceptron and the self-organizing neural network. Analysis is largely mathematical but concepts are also explained through practical examples.
Artificial Neural Networks
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Author : Kenji Suzuki
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-04-04
Artificial Neural Networks written by Kenji Suzuki and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-04 with Computers categories.
Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material identification, and estimation of material property and state, food industry such as meat, electric and power industry such as batteries and power systems, mechanical engineering such as engines and machines, and control and robotic engineering such as system control and identification, fault diagnosis systems, and robot manipulation. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in industrial and control engineering areas. The target audience includes professors and students in engineering schools, and researchers and engineers in industries.