Автор: Lokenath Debnath Название: Wavelet Transforms and Time-Frequency Signal Analysis ISBN: 1461266297 ISBN-13(EAN): 9781461266297 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The last fifteen years have produced major advances in the mathematical theory of wavelet transforms and their applications to science and engineering.
Автор: Pole, Andy , West, Mike , Harrison, Jeff Название: Applied Bayesian Forecasting and Time Series Analysis ISBN: 0367449382 ISBN-13(EAN): 9780367449384 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is about practical forecasting and analysis of time series. It describes how to analyse time series data, how to identify structure, how to explain observed behaviour, how to model structures and behaviours, and how to use insight gained from the analysis to make informed forecasts.
Название: Applied Time Series Analysis and Innovative Computing ISBN: 9048187672 ISBN-13(EAN): 9789048187676 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Introduction 1 Applied Time Series Analysis 1.2 Advances in Innovative Computing Paradigms 1.3 Real-World Applications: Innovative Computing Paradigms for Time Series Problems Chapter 2. Applied Time Series Analysis 2.1 Basic Characteristics of Time Series 2.2 Autoregression and ARIMA Models 2.3 Mathematical Models in the Frequency Domain Chapter 3. Advances in Innovative Computing Paradigms 3.1 Research Advances in Computing Algorithms and Databases 3.2 Research Advances in Integration of Hardware, Systems and Networks 3.3 Research Advances in Internet, Web and Grid Computing 3.4 Research Advances in Visualization, Design and Communication 3.5 Advances and Applications for Time Series Problems 3.6 An Illustrative Example of Building an Innovative Computing Algorithm for Simulated Time Series Chapter 4. Real-Word Application I: Developing Innovative Computing Algorithms for Business Time Series 4.1 Business Time Series 4.2 Advances in Business Forecasting 4.3 Developing a Hybrid Intelligent Econometrics Model for Business Forecasting 4.4 Application for Tourism Demand Forecasting 4.5 Application for Cross-Market Financial Forecasting 4.6 Discussions and Further Works Chapter 5. Real-Word Application II: Developing Innovative Computing Algorithms for Biological Time Series 5.1 Biological Time Series 5.2 Advances in Experimental Designs for Microarray Time Series 5.3 Reverse Engineering of Biological Networks 5.4 Models for Biological Network Inference 5.5 Discussions and Further Works Chapter 6. Real-Word Application III: Developing Innovative Computing Algorithms for Astronomical Time Series 6.1 Astronomical Time Series 6.2 Advances and Applications of Innovative Computing Paradigms 6.3 Motivations for Investigating the Quasar Time Series with Innovative Approaches 6.4 Advances in Emerging Methods for Quasar Studies 6.5 Autocorrelations Analysis of Quasars and Clustering Approach 6.6 Discussions and Further Works
Описание: This text introduces numerical methods and shows how to develop, analyse, and use them. Complete MATLAB programs are now available at www.cambridge.org/Moin, with more than 30 exercises. This thorough and practical book is a first course in numerical analysis for new graduate students in engineering and physical science.
Автор: Mark A.S. McMenamin Название: Deep Time Analysis ISBN: 3030089479 ISBN-13(EAN): 9783030089474 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using a series of case studies, the book demonstrates the power of dynamic analysis as applied to the fossil record. The book considers how we think about certain types of paleontological questions and shows how to answer them. The analytical tools presented here will have wide application to other fields of knowledge; as such the book represents a major contribution to the deployment of modern scientific method as it builds on author's previous book, Dynamic Paleontology. Students and seasoned professionals alike will find this book to be of great utility for refining their approach to their ongoing and future research projects.
Автор: P.M. Robinson; Murray Rosenblatt Название: Athens Conference on Applied Probability and Time Series Analysis ISBN: 0387947876 ISBN-13(EAN): 9780387947877 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second volume of conference papers concerning applied probability is in honour of E.J. Hannan. Topics covered include time series with infinite variance or stable marginal distribution, frequency domain methods, long range dependant processes, nonstationary processes and nonlinear time series.
Автор: C.C. Heyde; Yu.V. Prohorov; Ronald Pyke; S.T. Rach Название: Athens Conference on Applied Probability and Time Series Analysis ISBN: 0387947884 ISBN-13(EAN): 9780387947884 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This first volume of conference papers covers applied probability is in honour of J.M. Gani. Topics covered include probability and probabilistic methods in recursive algorithms and stochastic models, Markov and other stochastic models such as Markov chains and branching processes.
Описание: The Hilbert-Huang Transform (HHT) is a recently developed technique used to analyze nonstationary data. These results are compared to the results from the traditional methods such as those based on Fourier transform and other classical statistical tests.
Автор: David Brillinger; Enders Anthony Robinson; Frederi Название: Time Series Analysis and Applications to Geophysical Systems ISBN: 1441919716 ISBN-13(EAN): 9781441919717 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Arnold, Director of the IMA Fadil Santosa, Deputy Director of the IMA v PREFACE This volume contains a collection of papers that were presented dur- ing the Workshop on Time Series Analysis and Applications to Geophysical Systems at the Institute for Mathematics and its Applications (IMA) at the University of Minnesota from November 12-15, 2001.
Описание: How to study the stability of dynamical systems influenced by time delays is a fundamental question. Mastering Frequency Domain Techniques for the Stability Analysis of LTI Time Delay Systems addresses this question for linear time-invariant (LTI) systems with an eigenvalue-based approach built upon frequency domain techniques.
Описание: This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). Several studies on deep learning have been conducted to date, but most of the current methods focus on either only textual content, or only visual content. In contrast, the proposed sentiment analysis model can be applied to any social blog dataset, making the book highly beneficial for postgraduate students and researchers in deep learning and sentiment analysis. The mathematical abstraction of the sentiment analysis model is presented in a very lucid manner. The complete sentiments are analysed by combining text and visual prediction results. The book’s novelty lies in its development of innovative hierarchical recurrent neural networks for analysing sentiments; stacking of multiple recurrent layers by controlling the signal flow from upper recurrent layers to lower layers through a global gating unit; evaluation of HGFRNNs with different types of recurrent units; and adaptive assignment of HGFRNN layers to different timescales. Considering the need to leverage large-scale social multimedia content for sentiment analysis, both state-of-the-art visual and textual sentiment analysis techniques are used for joint visual-textual sentiment analysis. The proposed method yields promising results from Twitter datasets that include both texts and images, which support the theoretical hypothesis.
Описание: This book proposes and validates a number of methods and shortcuts for frugal engineers, which will allow them to significantly reduce the computational costs for analysis and reanalysis and, as a result, for structural design processes.
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