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Artificial Neural Network Modelling


Artificial Neural Network Modelling
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Artificial Neural Network Modelling


Artificial Neural Network Modelling
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Author : Subana Shanmuganathan
language : en
Publisher: Springer
Release Date : 2016-02-03

Artificial Neural Network Modelling written by Subana Shanmuganathan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-03 with Technology & Engineering categories.


This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.



A Comprehensive Guide To Neural Network Modeling


A Comprehensive Guide To Neural Network Modeling
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Author : Steffen Skaar
language : en
Publisher: Nova Science Publishers
Release Date : 2020-10-26

A Comprehensive Guide To Neural Network Modeling written by Steffen Skaar and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-26 with Computers categories.


As artificial neural networks have been gaining importance in the field of engineering, this compilation aims to review the scientific literature regarding the use of artificial neural networks for the modelling and optimization of food drying processes. The applications of artificial neural networks in food engineering are presented, particularly focusing on control, monitoring and modeling of industrial food processes.The authors emphasize the main achievements of artificial neural network modeling in recent years in the field of quantitative structure-activity relationships and quantitative structure-retention relationships.In the closing study, artificial intelligence techniques are applied to river water quality data and artificial intelligence models are developed in an effort to contribute to the reduction of the cost of future on-line measurement stations.



Artificial Neural Networks


Artificial Neural Networks
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Author : Joao Luis Garcia Rosa
language : en
Publisher: BoD – Books on Demand
Release Date : 2016-10-19

Artificial Neural Networks written by Joao Luis Garcia Rosa 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 2016-10-19 with Computers categories.


The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.



Artificial Neural Network Modeling Of Water And Wastewater Treatment Processes


Artificial Neural Network Modeling Of Water And Wastewater Treatment Processes
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Author : Ali Reza Khataee
language : en
Publisher: Nova Novinka
Release Date : 2011

Artificial Neural Network Modeling Of Water And Wastewater Treatment Processes written by Ali Reza Khataee and has been published by Nova Novinka this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Neural networks (Computer science) categories.


Artificial neural networks (ANNs) are computer based systems that are designed to simulate the learning process of neurons in the human brain. ANNs have been attracting great interest during the last decade as predictive models and pattern recognition. Artificial neural networks possess the ability to "learn" from a set of experimental data without actual knowledge of the physical and chemical laws that govern the system. Therefore, ANNs application in data treatment is high, especially where systems present non-linearities and complex behaviour. This book describes the application of artificial neural networks for modelling of water and wastewater treatment processes.



Artificial Neural Network Models For Analysis Of Lumbar Muscle Recruitment During Moderate Static Exertions


Artificial Neural Network Models For Analysis Of Lumbar Muscle Recruitment During Moderate Static Exertions
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Author : Maury Albert Nussbaum
language : en
Publisher:
Release Date : 1994

Artificial Neural Network Models For Analysis Of Lumbar Muscle Recruitment During Moderate Static Exertions written by Maury Albert Nussbaum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.




Artificial Neural Networks For Modelling And Control Of Non Linear Systems


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 : 1995-12-31

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 1995-12-31 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.



A Neural Network Model Its Properties And Applications


A Neural Network Model Its Properties And Applications
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Author : Xin Xu
language : en
Publisher:
Release Date : 1990

A Neural Network Model Its Properties And Applications written by Xin Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.




Artificial Higher Order Neural Networks For Modeling And Simulation


Artificial Higher Order Neural Networks For Modeling And Simulation
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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 Neural Networks Models And Applications


Artificial Neural Networks Models And Applications
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Author :
language : en
Publisher:
Release Date : 19??

Artificial Neural Networks Models And Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 19?? with categories.




Artificial Neural Networks


Artificial Neural Networks
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Author : Nelson Morgan
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1990

Artificial Neural Networks written by Nelson Morgan and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.


The focus of this artificial neural networks volume is on design issues for electronic ANN systems, with an emphasis on functioning integrated circuits. These circuits are necessarily experimental, since ANN algorithms are still in an early stage, so that the optimal implementations cannot yet be kn