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Multidisciplinary Approaches to Neural Computing, Anna Esposito; Marcos Faudez-Zanuy; Francesco Carl


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Автор: Anna Esposito; Marcos Faudez-Zanuy; Francesco Carl
Название:  Multidisciplinary Approaches to Neural Computing
ISBN: 9783319860312
Издательство: Springer
Классификация:






ISBN-10: 3319860313
Обложка/Формат: Soft cover
Страницы: 388
Вес: 0.62 кг.
Дата издания: 2018
Серия: Smart Innovation, Systems and Technologies
Язык: English
Издание: Softcover reprint of
Иллюстрации: 124 illustrations, black and white; xv, 388 p. 124 illus.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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.
Дополнительное описание: Redefining Information Processing Through Neural Computing Models.- A Neural Approach for Hybrid Events Discrimination at Stomboli Volcano.- Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algori


Handwriting Recognition / Soft Computing and Probabilistic Approaches

Автор: Liu Zhi-Qiang, Cai Jin-Hai, Buse Richard
Название: Handwriting Recognition / Soft Computing and Probabilistic Approaches
ISBN: 3540401776 ISBN-13(EAN): 9783540401773
Издательство: Springer
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Цена: 65210.00 T
Наличие на складе: Есть
Описание: This book takes a fresh look at the problem of unconstrained handwriting recognition and introduces the reader to new techniques for the recognition of written words and characters using statistical and soft computing approaches. The types of uncertainties and variations present in handwriting data are discussed in detail. The book presents several algorithms that use modified hidden Markov models and Markov random field models to simulate the handwriting data statistically and structurally in a single framework. The book explores methods that use fuzzy logic and fuzzy sets for handwriting recognition. The effectiveness of these techniques is demonstrated through extensive experimental results and real handwritten characters and words.

Finite Element Multidisciplinary Analysis

Автор: Gupta K. K.
Название: Finite Element Multidisciplinary Analysis
ISBN: 1563475804 ISBN-13(EAN): 9781563475801
Издательство: Mare Nostrum (Eurospan)
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Цена: 85530.00 T
Наличие на складе: Невозможна поставка.
Описание: This work addresses the challenges and developments in multidisciplinary analysis. Developments include disciplines of structural mechanics, heat transfer, fluid mechanics, controls engineering and propulsion technology.

Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling

Автор: Christian Walloth; Jens Martin Gurr; J. Alexander
Название: Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling
ISBN: 3319029959 ISBN-13(EAN): 9783319029955
Издательство: Springer
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Цена: 113190.00 T
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Описание: Bringing together experts in spatial planning, ecology, urban geography, organizational cybernetics and stochastic optimization with specialists in urban analysis systems and methodologies, this book explores multidisciplinary approaches to urban modeling.

Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling

Автор: Christian Walloth; Jens Martin Gurr; J. Alexander
Название: Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling
ISBN: 3319378902 ISBN-13(EAN): 9783319378909
Издательство: Springer
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Цена: 95770.00 T
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Описание: Bringing together experts in spatial planning, ecology, urban geography, organizational cybernetics and stochastic optimization with specialists in urban analysis systems and methodologies, this book explores multidisciplinary approaches to urban modeling.

Hybrid Soft Computing Approaches

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Susant
Название: Hybrid Soft Computing Approaches
ISBN: 8132225430 ISBN-13(EAN): 9788132225430
Издательство: Springer
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Цена: 139310.00 T
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Описание: Hybrid Soft Computing Approaches

Hybrid Soft Computing Approaches

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Susant
Название: Hybrid Soft Computing Approaches
ISBN: 8132229789 ISBN-13(EAN): 9788132229780
Издательство: Springer
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Цена: 121890.00 T
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Описание:

Section 1. Hybrid Soft Computing Approaches: Research Chapter 1. A Hybrid CS-GSA Algorithm for Optimization.- Chapter 2. Study of Economic Load Dispatch by Various Hybrid Optimization Techniques.- Chapter 3. Unsolved Problems of Ambient Computationally Intelligent TBM Algorithms.- Chapter 4. Hybridizing Differential Evolution Variants through Heterogeneous Mixing in a Distributed Framework.- Section 2. Hybrid Soft Computing Approaches: Applications Chapter 5. Collaborative Simulated Annealing Genetic Algorithm for Geometric Optimization of Thermo-electric Coolers.- Chapter 6. Color Magnetic Resonance Brain Image Segmentation by Para Opti MUSIG Activation Function: An Application.- Chapter 7. Convergence Analysis of Back Propagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases.- Chapter 8. REFII Model as a Base for Data Mining Techniques Hybridization with Purpose of Time Series Pattern Recognition.- Chapter 9. A Soft Computing Approach for Targeted Product Promotion on Social Networks.- Chapter 10. Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis.- Chapter 11. A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms.- Chapter 12. Neuro-Fuzzy Hybridized Model for Seasonal Rainfall Forecasting: A Case Study in Stock Index Forecasting.- Chapter 13. Hybridization of 2D-3D Images for Human Face Recognition.- Chapter 14. Neutrosophic Trust Evaluation Model in B2C E-commerce.- Chapter 15. Immune Based Feature Selection in Rigid Medical Image Registration Using Supervised Neural Network.


Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

Автор: Chi-Bin Cheng; Hsu-Shih Shih; E. Stanley Lee
Название: Fuzzy and Multi-Level Decision Making: Soft Computing Approaches
ISBN: 3319925245 ISBN-13(EAN): 9783319925240
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Автор: Kozma, Robert
Название: Artificial Intelligence in the Age of Neural Networks and Brain Computing
ISBN: 0128154802 ISBN-13(EAN): 9780128154809
Издательство: Elsevier Science
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Цена: 149340.00 T
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Описание:

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book.

  • Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN)
  • Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making
  • Edited by high-level academics and researchers in intelligent systems and neural networks

Multidisciplinary Aspects of Time and Time Perception

Автор: Vatakis
Название: Multidisciplinary Aspects of Time and Time Perception
ISBN: 3642214770 ISBN-13(EAN): 9783642214776
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book constitutes the documentation of the scientific outcome of the first meeting of the TIMELY network, the International Workshop on Multidisciplinary Aspects of Time and Time Perception, which took place in Athens, Greece, in October 2010. exploring factors associated with time perception variability;

Communications and Discoveries from Multidisciplinary Data

Автор: Shuichi Iwata; Yukio Ohsawa; Shusaku Tsumoto; Ning
Название: Communications and Discoveries from Multidisciplinary Data
ISBN: 3642097510 ISBN-13(EAN): 9783642097515
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book collects selected papers by authors for CODATA 2006, which are relevant to the acquisition of knowledge and the assessment of risk and opportunity that comes from combining data from a number of different disciplines.

Risk - a Multidisciplinary Introduction

Название: Risk - a Multidisciplinary Introduction
ISBN: 3319044850 ISBN-13(EAN): 9783319044859
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book addresses the integration of risk methodology from various fields. It stimulates intellectual debate and communication across disciplines, promotes better risk management practices and contributes to the development of risk management methodologies.

Mathematical Sciences with Multidisciplinary Applications

Автор: Toni
Название: Mathematical Sciences with Multidisciplinary Applications
ISBN: 3319313215 ISBN-13(EAN): 9783319313214
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book is the fourth in a multidisciplinary series which brings together leading researchers in the STEAM-H disciplines (Science, Technology, Engineering, Agriculture, Mathematics and Health) to present their perspective on advances in their own specific fields, and to generate a genuinely interdisciplinary collaboration that transcends parochial subject-matter boundaries. All contributions are carefully edited, peer-reviewed, reasonably self-contained, and pedagogically crafted for a multidisciplinary readership. Contributions are drawn from a variety of fields including mathematics, statistics, game theory and behavioral sciences, biomathematics and physical chemistry, computer science and human-centered computing. This volume is dedicated to Professor Christiane Rousseau, whose work inspires the STEAM-H series, in recognition of her passion for the mathematical sciences and her on-going initiative, the Mathematics of Planet Earth paradigm of interdisciplinarity. The volume's primary goal is to enhance interdisciplinary understanding between these areas of research by showing how new advances in a particular field can be relevant to open problems in another and how many disciplines contribute to a better understanding of relevant issues at the interface of mathematics and the sciences. The main emphasis is on important methods, research directions and applications of analysis within and beyond each field. As such, the volume aims to foster student interest and participation in the STEAM-H domain, as well as promote interdisciplinary research collaborations. The volume is valuable as a reference of choice and a source of inspiration for a broad spectrum of scientists, mathematicians, research students and postdoctoral fellows.


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