Multidisciplinary Approaches To Neural Computing

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Multidisciplinary Approaches to Neural Computing

Author : Anna Esposito
Publisher : Springer
ISBN 13 : 331956904X
Total Pages : 388 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Multidisciplinary Approaches to Neural Computing by : Anna Esposito

Download or read book Multidisciplinary Approaches to Neural Computing written by Anna Esposito and published by Springer. This book was released on 2017-08-28 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Information-Theoretic Approach to Neural Computing

Author : Gustavo Deco
Publisher : Springer Science & Business Media
ISBN 13 : 1461240166
Total Pages : 265 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis An Information-Theoretic Approach to Neural Computing by : Gustavo Deco

Download or read book An Information-Theoretic Approach to Neural Computing written by Gustavo Deco and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design theory of neural networks. In particular they demonstrate how these methods may be applied to the topics of supervised and unsupervised learning, including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from varied scientific disciplines, notably cognitive scientists, engineers, physicists, statisticians, and computer scientists, will find this an extremely valuable introduction to this topic.

Combining Artificial Neural Nets

Author : Amanda J.C. Sharkey
Publisher : Springer Science & Business Media
ISBN 13 : 1447107934
Total Pages : 300 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Combining Artificial Neural Nets by : Amanda J.C. Sharkey

Download or read book Combining Artificial Neural Nets written by Amanda J.C. Sharkey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, written by leading researchers, presents methods of combining neural nets to improve their performance. The techniques include ensemble-based approaches, where a variety of methods are used to create a set of different nets trained on the same task, and modular approaches, where a task is decomposed into simpler problems. The techniques are also accompanied by an evaluation of their relative effectiveness and their application to a variety of problems.

Advanced Methods in Neural Computing

Author : Philip D. Wasserman
Publisher : Van Nostrand Reinhold Company
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Advanced Methods in Neural Computing by : Philip D. Wasserman

Download or read book Advanced Methods in Neural Computing written by Philip D. Wasserman and published by Van Nostrand Reinhold Company. This book was released on 1993 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the engineer's guide to artificial neural networks, the advanced computing innovation which is posed to sweep into the world of business and industry. The author presents the basic principles and advanced concepts by means of high-performance paradigms which function effectively in real-world situations.

Dealing with Complexity

Author : Mirek Karny
Publisher : Springer Science & Business Media
ISBN 13 : 1447115236
Total Pages : 323 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Dealing with Complexity by : Mirek Karny

Download or read book Dealing with Complexity written by Mirek Karny and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: In almost all areas of science and engineering, the use of computers and microcomputers has, in recent years, transformed entire subject areas. What was not even considered possible a decade or two ago is now not only possible but is also part of everyday practice. As a result, a new approach usually needs to be taken (in order) to get the best out of a situation. What is required is now a computer's eye view of the world. However, all is not rosy in this new world. Humans tend to think in two or three dimensions at most, whereas computers can, without complaint, work in n dimensions, where n, in practice, gets bigger and bigger each year. As a result of this, more complex problem solutions are being attempted, whether or not the problems themselves are inherently complex. If information is available, it might as well be used, but what can be done with it? Straightforward, traditional computational solutions to this new problem of complexity can, and usually do, produce very unsatisfactory, unreliable and even unworkable results. Recently however, artificial neural networks, which have been found to be very versatile and powerful when dealing with difficulties such as nonlinearities, multivariate systems and high data content, have shown their strengths in general in dealing with complex problems. This volume brings together a collection of top researchers from around the world, in the field of artificial neural networks.

Second-Order Methods for Neural Networks

Author : Adrian J. Shepherd
Publisher : Springer
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Second-Order Methods for Neural Networks by : Adrian J. Shepherd

Download or read book Second-Order Methods for Neural Networks written by Adrian J. Shepherd and published by Springer. This book was released on 1997-04-28 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume aims to develop the reader's understanding of the theoretical and practical issues involved in the development of efficient MLP training strategies, and to describe and evaluate the performance of a wide range of specific training algorithm. Particular emphasis is given to the development of methods which a strong theoretical foundation, rather than heuristic, "rule of thumb" training strategies. Second-Order Methods for Neural Networks will be of interest to academic researchers and postgraduate students working with neural networks (especially supervised learning with multi-layer perceptrons), industrial researchers and programmers developing neural network software, and professionals using neural networks as optimisation tools.

Handbook of Neural Computation

Author : Pijush Samui
Publisher : Academic Press
ISBN 13 : 0128113197
Total Pages : 658 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Handbook of Neural Computation by : Pijush Samui

Download or read book Handbook of Neural Computation written by Pijush Samui and published by Academic Press. This book was released on 2017-07-18 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Neural Computing - An Introduction

Author : R Beale
Publisher : CRC Press
ISBN 13 : 9780852742624
Total Pages : 240 pages
Book Rating : 4.7/5 (426 download)

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Book Synopsis Neural Computing - An Introduction by : R Beale

Download or read book Neural Computing - An Introduction written by R Beale and published by CRC Press. This book was released on 1990-01-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: An explanation of the basic concepts of neural computation, this book is about the whole field of neural networks and covers the major approaches and their results. It aims to develop concepts and ideas from their simple basics through their formulation into power computational systems.

Neural Approaches to Dynamics of Signal Exchanges

Author : Anna Esposito
Publisher : Springer Nature
ISBN 13 : 9811389500
Total Pages : 525 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Neural Approaches to Dynamics of Signal Exchanges by : Anna Esposito

Download or read book Neural Approaches to Dynamics of Signal Exchanges written by Anna Esposito and published by Springer Nature. This book was released on 2019-09-18 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human–computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotion modulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human–computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications.

Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration

Author : Fields, Ziska
Publisher : IGI Global
ISBN 13 : 1668463687
Total Pages : 425 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration by : Fields, Ziska

Download or read book Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration written by Fields, Ziska and published by IGI Global. This book was released on 2023-05-01 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creativity must be turned into innovation that adds value and leads to strategic action. Innovation is often associated with Silicon Valley, expensive research and development departments, and expensive commercialization that primarily benefits a small portion of the worlds population. A small portion of the worlds population working together to solve wicked green problems is not enough either. Green creativity and eco-innovation are necessary to help solve green problems by making products and services available and affordable to the masses. Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration focuses on the importance of green creativity, eco-innovation, and collaboration to create a more sustainable world. It builds on the available literature and joint expertise in the field of management while providing further research opportunities in this dynamic field. Covering topics such as eco-leadership, green marketing, and social responsibility communication, this premier reference source is a comprehensive and timely resource for government officials, decision makers, business leaders and executives, students and educators of higher education, librarians, researchers, and academicians.

Guide to Neural Computing Applications

Author : Lionel Tarassenko
Publisher : Elsevier
ISBN 13 : 0080512607
Total Pages : 160 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Guide to Neural Computing Applications by : Lionel Tarassenko

Download or read book Guide to Neural Computing Applications written by Lionel Tarassenko and published by Elsevier. This book was released on 1998-01-30 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more experienced practitioner who, through over familiarity, might otherwise be inclined to jump to unwarranted conclusions. The book is an invaluable resource not only for those in industry who are interested in neural computing solutions, but also for final year undergraduates or graduate students who are working on neural computing projects. It provides advice which will help make the best use of the growing number of commercial and public domain neural network software products, freeing the specialist from dependence upon external consultants.

Advances in Neural Networks

Author : Simone Bassis
Publisher : Springer
ISBN 13 : 3319337475
Total Pages : 539 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Advances in Neural Networks by : Simone Bassis

Download or read book Advances in Neural Networks written by Simone Bassis and published by Springer. This book was released on 2016-06-18 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully edited book is putting emphasis on computational and artificial intelligent methods for learning and their relative applications in robotics, embedded systems, and ICT interfaces for psychological and neurological diseases. The book is a follow-up of the scientific workshop on Neural Networks (WIRN 2015) held in Vietri sul Mare, Italy, from the 20th to the 22nd of May 2015. The workshop, at its 27th edition became a traditional scientific event that brought together scientists from many countries, and several scientific disciplines. Each chapter is an extended version of the original contribution presented at the workshop, and together with the reviewers’ peer revisions it also benefits from the live discussion during the presentation. The content of book is organized in the following sections. 1. Introduction, 2. Machine Learning, 3. Artificial Neural Networks: Algorithms and models, 4. Intelligent Cyberphysical and Embedded System, 5. Computational Intelligence Methods for Biomedical ICT in Neurological Diseases, 6. Neural Networks-Based Approaches to Industrial Processes, 7. Reconfigurable Modular Adaptive Smart Robotic Systems for Optoelectronics Industry: The White'R Instantiation This book is unique in proposing a holistic and multidisciplinary approach to implement autonomous, and complex Human Computer Interfaces.

Multidisciplinary Approach in Research Area (Volume-7)

Author : Chief Editor- Biplab Auddya, Editor- Dr. Tarannum Khan, Bijanamula Supriya, Dr. Jyotsana Khandelwal, Mrs. V.Geetha, Smt. Padmini Kaji, Mercy Varshney
Publisher : The Hill Publication
ISBN 13 : 8196679920
Total Pages : 76 pages
Book Rating : 4.1/5 (966 download)

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Book Synopsis Multidisciplinary Approach in Research Area (Volume-7) by : Chief Editor- Biplab Auddya, Editor- Dr. Tarannum Khan, Bijanamula Supriya, Dr. Jyotsana Khandelwal, Mrs. V.Geetha, Smt. Padmini Kaji, Mercy Varshney

Download or read book Multidisciplinary Approach in Research Area (Volume-7) written by Chief Editor- Biplab Auddya, Editor- Dr. Tarannum Khan, Bijanamula Supriya, Dr. Jyotsana Khandelwal, Mrs. V.Geetha, Smt. Padmini Kaji, Mercy Varshney and published by The Hill Publication. This book was released on 2024-03-14 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence for Semantic Knowledge Management

Author : Giovanni Acampora
Publisher : Springer
ISBN 13 : 3030237605
Total Pages : 135 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Computational Intelligence for Semantic Knowledge Management by : Giovanni Acampora

Download or read book Computational Intelligence for Semantic Knowledge Management written by Giovanni Acampora and published by Springer. This book was released on 2019-07-11 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of computational intelligence methods for semantic knowledge management. Contrary to popular belief, the methods for semantic management of information were created several decades ago, long before the birth of the Internet. In fact, it was back in 1945 when Vannevar Bush introduced the idea for the first protohypertext: the MEMEX (MEMory + indEX) machine. In the years that followed, Bush’s idea influenced the development of early hypertext systems until, in the 1980s, Tim Berners Lee developed the idea of the World Wide Web (WWW) as it is known today. From then on, there was an exponential growth in research and industrial activities related to the semantic management of the information and its exploitation in different application domains, such as healthcare, e-learning and energy management. However, semantics methods are not yet able to address some of the problems that naturally characterize knowledge management, such as the vagueness and uncertainty of information. This book reveals how computational intelligence methodologies, due to their natural inclination to deal with imprecision and partial truth, are opening new positive scenarios for designing innovative semantic knowledge management architectures.

Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services

Author : Tyagi, Amit Kumar
Publisher : IGI Global
ISBN 13 : 1668457423
Total Pages : 378 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services by : Tyagi, Amit Kumar

Download or read book Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services written by Tyagi, Amit Kumar and published by IGI Global. This book was released on 2022-10-14 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advancement of sensorial media, objects, and technologies, multimedia can play a significant role in smart healthcare by offering better insight of heterogeneous healthcare multimedia content to support affordable and quality patient care. While researchers and the scientific community have been making advances in the study of multimedia tools and healthcare services individually, very little attention has been given to developing cost effective and affordable smart healthcare services. Multimedia-based smart healthcare has the potential to revolutionize many aspects of our society; however, many technical challenges must be addressed before this potential can be realized. Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services includes high-quality research on the recent advances in various aspects of intelligent interactive multimedia technologies in healthcare services and, more specifically, in the state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies for providing insights into smart healthcare service demands. Covering topics such as genetic algorithms, automatic classification of diseases, and structural equation modeling, this premier reference source is an essential resource for hospital administrators, medical professionals, health IT specialists, hospital technicians, students and faculty of higher education, researchers, and academicians.

Contactless Human Activity Analysis

Author : Md Atiqur Rahman Ahad
Publisher : Springer Nature
ISBN 13 : 303068590X
Total Pages : 364 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Contactless Human Activity Analysis by : Md Atiqur Rahman Ahad

Download or read book Contactless Human Activity Analysis written by Md Atiqur Rahman Ahad and published by Springer Nature. This book was released on 2021-03-23 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a truly comprehensive, timely, and very much needed treatise on the conceptualization of analysis, and design of contactless & multimodal sensor-based human activities, behavior understanding & intervention. From an interaction design perspective, the book provides views and methods that allow for more safe, trustworthy, efficient, and more natural interaction with technology that will be embedded in our daily living environments. The chapters in this book cover sufficient grounds and depth in related challenges and advances in sensing, signal processing, computer vision, and mathematical modeling. It covers multi-domain applications, including surveillance and elderly care that will be an asset to entry-level and practicing engineers and scientists.(See inside for the reviews from top experts)

Multidisciplinary Approach in Research Area (Volume-8)

Author : Chief Editor- Biplab Auddya, Editor- A.Praveena, Dr. Shankar Kumar Bhattacharjee, Dr. Kirankumar Nittali, Dr. Manisha S, Pavanpreet Kaur, Gadamsetty Surya
Publisher : The Hill Publication
ISBN 13 : 8196679912
Total Pages : 67 pages
Book Rating : 4.1/5 (966 download)

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Book Synopsis Multidisciplinary Approach in Research Area (Volume-8) by : Chief Editor- Biplab Auddya, Editor- A.Praveena, Dr. Shankar Kumar Bhattacharjee, Dr. Kirankumar Nittali, Dr. Manisha S, Pavanpreet Kaur, Gadamsetty Surya

Download or read book Multidisciplinary Approach in Research Area (Volume-8) written by Chief Editor- Biplab Auddya, Editor- A.Praveena, Dr. Shankar Kumar Bhattacharjee, Dr. Kirankumar Nittali, Dr. Manisha S, Pavanpreet Kaur, Gadamsetty Surya and published by The Hill Publication. This book was released on 2024-03-28 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: