Recent Advances Of Neural Network Models And Applications

Author : Simone Bassis,Anna Esposito,Francesco Carlo Morabito
Publisher : Springer Science & Business Media
Page : 436 pages
File Size : 55,6 Mb
Release : 2013-12-19
Category : Technology & Engineering
ISBN : 9783319041292

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Recent Advances of Neural Network Models and Applications by Simone Bassis,Anna Esposito,Francesco Carlo Morabito Pdf

This volume collects a selection of contributions which has been presented at the 23rd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Vietri sul Mare, Salerno, Italy during May 23-24, 2013. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in two main components, a special session and a group of regular sessions featuring different aspects and point of views of artificial neural networks, artificial and natural intelligence, as well as psychological and cognitive theories for modeling human behaviors and human machine interactions, including Information Communication applications of compelling interest.

Author : Joao Luis Garcia Rosa
Publisher : BoD – Books on Demand
Page : 416 pages
File Size : 46,6 Mb
Release : 2016-10-19
Category : Computers
ISBN : 9789535127048

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Artificial Neural Networks by Joao Luis Garcia Rosa Pdf

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.

Author : L. C. Jain
Publisher : CRC Press
Page : 262 pages
File Size : 48,9 Mb
Release : 2018-05-04
Category : Computers
ISBN : 9781351093118

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Recent Advances in Artificial Neural Networks by L. C. Jain Pdf

Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.

Author : Simone Bassis,Anna Esposito,Francesco Carlo Morabito
Publisher : Springer
Page : 402 pages
File Size : 46,6 Mb
Release : 2015-06-05
Category : Technology & Engineering
ISBN : 9783319181646

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Advances in Neural Networks: Computational and Theoretical Issues by Simone Bassis,Anna Esposito,Francesco Carlo Morabito Pdf

This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and bio-inspired memristor-based networks. Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive and context-aware Information Communication Technologies.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 40,5 Mb
Release : 19??
Category : Electronic
ISBN : 9535127055

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Artificial Neural Networks €“ Models and Applications by Anonim Pdf

Author : Patrick Chi Leung Hui
Publisher : Intechopen
Page : 0 pages
File Size : 53,5 Mb
Release : 2023
Category : Electronic
ISBN : 1837699941

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Artificial Neural Networks by Patrick Chi Leung Hui Pdf

This book examines artificial neural networks (ANNs) and their applications in various fields. Chapters address ANNs and deep learning techniques for real-world applications in health care, materials processing, energy management, and more.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 46,8 Mb
Release : 2017
Category : Electronic
ISBN : 1785694073

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RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS. by Anonim Pdf

Author : Subana Shanmuganathan,Sandhya Samarasinghe
Publisher : Springer
Page : 472 pages
File Size : 53,8 Mb
Release : 2016-02-03
Category : Technology & Engineering
ISBN : 9783319284958

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Artificial Neural Network Modelling by Subana Shanmuganathan,Sandhya Samarasinghe Pdf

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.

Author : Jeffrey W. Tweedale,Lakhmi C. Jain
Publisher : Springer Science & Business Media
Page : 223 pages
File Size : 49,5 Mb
Release : 2013-10-30
Category : Technology & Engineering
ISBN : 9783319016498

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Recent Advances in Knowledge-based Paradigms and Applications by Jeffrey W. Tweedale,Lakhmi C. Jain Pdf

This book presents carefully selected contributions devoted to the modern perspective of AI research and innovation. This collection covers several areas of applications and motivates new research directions. The theme across all chapters combines several domains of AI research, Computational Intelligence and Machine Intelligence including an introduction to the recent research and models. Each of the subsequent chapters reveals leading edge research and innovative solution that employ AI techniques with an applied perspective. The problems include classification of spatial images, early smoke detection in outdoor space from video images, emergent segmentation from image analysis, intensity modification in images, multi-agent modeling and analysis of stress. They all are novel pieces of work and demonstrate how AI research contributes to solutions for difficult real world problems that benefit the research community, industry and society.

Author : Adel El-Shahat
Publisher : BoD – Books on Demand
Page : 298 pages
File Size : 53,6 Mb
Release : 2018-02-28
Category : Computers
ISBN : 9789535137801

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Advanced Applications for Artificial Neural Networks by Adel El-Shahat Pdf

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.

Author : Anna Esposito,Marcos Faudez-Zanuy,Francesco Carlo Morabito,Eros Pasero
Publisher : Springer
Page : 388 pages
File Size : 49,9 Mb
Release : 2017-08-28
Category : Technology & Engineering
ISBN : 9783319569048

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Multidisciplinary Approaches to Neural Computing by Anna Esposito,Marcos Faudez-Zanuy,Francesco Carlo Morabito,Eros Pasero Pdf

This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users. Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to – which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) – ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book. This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies.

Author : Xin Jin,Jingyu Hou,Shin-Jye Lee,Dongming Zhou
Publisher : Frontiers Media SA
Page : 179 pages
File Size : 51,5 Mb
Release : 2022-09-13
Category : Science
ISBN : 9782889769452

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Recent Advances in Artificial Neural Networks and Embedded Systems for Multi-Source Image Fusion by Xin Jin,Jingyu Hou,Shin-Jye Lee,Dongming Zhou Pdf

Author : Ke-Lin Du,M.N.S. Swamy
Publisher : Springer Science & Business Media
Page : 610 pages
File Size : 43,5 Mb
Release : 2006-08-02
Category : Technology & Engineering
ISBN : 9781846283031

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Neural Networks in a Softcomputing Framework by Ke-Lin Du,M.N.S. Swamy Pdf

This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.

Author : Kenji Suzuki
Publisher : BoD – Books on Demand
Page : 494 pages
File Size : 51,5 Mb
Release : 2011-04-04
Category : Computers
ISBN : 9789533072203

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Artificial Neural Networks by Kenji Suzuki Pdf

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.

Author : Randolph W. Parks,Daniel S. Levine,Debra L. Long
Publisher : MIT Press
Page : 450 pages
File Size : 41,8 Mb
Release : 1998
Category : Cognition
ISBN : 0262161753

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Fundamentals of Neural Network Modeling by Randolph W. Parks,Daniel S. Levine,Debra L. Long Pdf

Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimer's disease. Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble