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Neural Advances in Processing Nonlinear Dynamic Signals, Anna Esposito; Marcos Faundez-Zanuy; Francesco Car


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Автор: Anna Esposito; Marcos Faundez-Zanuy; Francesco Car
Название:  Neural Advances in Processing Nonlinear Dynamic Signals
ISBN: 9783030069773
Издательство: Springer
Классификация:


ISBN-10: 303006977X
Обложка/Формат: Soft cover
Страницы: 318
Вес: 0.51 кг.
Дата издания: 2019
Серия: Smart Innovation, Systems and Technologies
Язык: English
Издание: Softcover reprint of
Иллюстрации: 61 illustrations, color; 30 illustrations, black and white; xii, 318 p. 91 illus., 61 illus. in color.
Размер: 234 x 156 x 18
Читательская аудитория: General (us: trade)
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community.Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques.This book is a valuable resource fora. The academic research communityb. The ICT marketc. PhD students and early stage researchersd. Companies, research institutese. Representatives from industry and standardization bodies
Дополнительное описание: Processing Nonlinearities.- Temporal Artifacts from Edge Accumulation in Social Interaction.- Data Mining by Evolving Agents for Clusters Discovery and Metric Learning.- Error Resilient Neural Networks on Low-Dimensional Manifolds.- On 4-Dimensional Hyper



Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

Автор: Ju H. Park; Hao Shen; Xiao-Heng Chang; Tae H. Lee
Название: Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals
ISBN: 3030071545 ISBN-13(EAN): 9783030071547
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques.This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.

Neural Advances in Processing Nonlinear Dynamic Signals

Автор: Esposito
Название: Neural Advances in Processing Nonlinear Dynamic Signals
ISBN: 3319950975 ISBN-13(EAN): 9783319950976
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Processing Nonlinearities.- Temporal Artifacts from Edge Accumulation in Social Interaction.- Data Mining by Evolving Agents for Clusters Discovery and Metric Learning.- Error Resilient Neural Networks on Low-Dimensional Manifolds.- On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing.- Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.- Convolutional Neural Networks for the Identification of Filaments from Fast Visual Imaging Cameras in Tokamak Reactors.- Appraisal of Enhanced Surrogate Models for Substrate Integrate Waveguide Devices Characterization.- An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models.- New Challenges in Pension Industry: Proposals of Personal Pension Products.- A Method Based on OWA Operator for Scientific Research Evaluation.- A Cluster Analysis Approach for Rule Base Reduction.

Advances in Nonlinear Speech Processing

Автор: Carlos M. Travieso-Gonz?lez; Jes?s Alonso-Hern?nde
Название: Advances in Nonlinear Speech Processing
ISBN: 364225019X ISBN-13(EAN): 9783642250194
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the 5th International Conference on Nonlinear Speech Processing, NoLISP 2011, held in Las Palmas de Gran Canaria, Spain, in November 2011. The topics of NOLISP 2011 were non-linear approximation and estimation;

Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

Автор: Park
Название: Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals
ISBN: 3319962019 ISBN-13(EAN): 9783319962016
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book discusses how to deal with such constraints to guarantee the system`s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention.

Nonlinear Time Series and Signal Processing

Автор: Ronald R. Mohler
Название: Nonlinear Time Series and Signal Processing
ISBN: 3540188614 ISBN-13(EAN): 9783540188612
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This monograph provides a sample of relevant new results on dynamical nonlinear statistical modeling and estimation which forms a basis for more effective signal processing, decision and control.

Recent Advances in the Processing of Wood-Plastic Composites

Автор: Jin Kuk Kim; Kaushik Pal
Название: Recent Advances in the Processing of Wood-Plastic Composites
ISBN: 3642266266 ISBN-13(EAN): 9783642266263
Издательство: Springer
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Цена: 15672.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book opens with a glimpse at basic structures and properties of WPCs. Later chapters examine foam technology, flame retardant properties and colour retardant properties of WPCs. Last comes a review of applications of wood-plastic composites in daily life.

Latest Advances in Inductive Logic Programming

Автор: Muggleton Stephen, Watanabe Hiroaki
Название: Latest Advances in Inductive Logic Programming
ISBN: 1783265086 ISBN-13(EAN): 9781783265084
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: This book represents a selection of papers presented at the Inductive Logic Programming (ILP) workshop held at Cumberland Lodge, Great Windsor Park.

Advances in Reasoning-Based Image Processing Intelligent Systems

Автор: Roumen Kountchev; Kazumi Nakamatsu
Название: Advances in Reasoning-Based Image Processing Intelligent Systems
ISBN: 364244623X ISBN-13(EAN): 9783642446238
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Foregrounding contemporary techniques for reasoning-based image processing and analysis, the 14 chapters in this book are self-contained monographs covering a broad spectrum of complementary topics, all written by leading experts working in the field.

New Advances in Intelligent Signal Processing

Автор: Antonio Ruano; Annam?ria R. V?rkonyi-K?czy
Название: New Advances in Intelligent Signal Processing
ISBN: 3642269370 ISBN-13(EAN): 9783642269370
Издательство: Springer
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Цена: 16977.00 р.
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Описание: New Advances in Intelligent Signal Processing presents revised and expanded works based on original papers presented at the jubilee sixth IEEE International Symposium on Intelligent Signal Processing (WISP`2009), held in Budapest Hungary, August 26-28, 2009.

Advances in Machine Learning and Signal Processing

Автор: Soh
Название: Advances in Machine Learning and Signal Processing
ISBN: 3319322125 ISBN-13(EAN): 9783319322124
Издательство: Springer
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Цена: 28734.00 р.
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Описание: Thisbook presents important research findings and recent innovations in the fieldof machine learning and signal processing. A wide range of topics relating to machinelearning and signal processing techniques and their applications are addressed inorder to provide both researchers and practitioners with a valuable resourcedocumenting the latest advances and trends. The book comprises a carefulselection of the papers submitted to the 2015 International Conference on MachineLearning and Signal Processing (MALSIP 2015), which was held on 15–17 December2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers,academicians, and practitioners an ideal opportunity to disseminate theirfindings and achievements. All of the included contributions were chosen byexpert peer reviewers from across the world on the basis of their interest tothe community. In addition to presenting the latest in design, development, andresearch, the book provides access to numerous new algorithms for machinelearning and signal processing for engineering problems.

Advances and Applications of Optimised Algorithms in Image Processing

Автор: Diego Oliva; Erik Cuevas
Название: Advances and Applications of Optimised Algorithms in Image Processing
ISBN: 3319485490 ISBN-13(EAN): 9783319485492
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.

Advances in Signal Processing and Intelligent Recognition Systems

Автор: Sabu M. Thampi; Alexander Gelbukh; Jayanta Mukhopa
Название: Advances in Signal Processing and Intelligent Recognition Systems
ISBN: 3319049593 ISBN-13(EAN): 9783319049595
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India.


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