Prevision De Series Temporelles A Laide De Reseaux Neuronaux Exemples Avec Matlab

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PRÉVISION DE SÉRIES TEMPORELLES À L'AIDE DE RÉSEAUX NEURONAUX. EXEMPLES AVEC MATLAB

Author : CESAR PEREZ LOPEZ
Publisher : CESAR PEREZ
ISBN 13 :
Total Pages : 313 pages
Book Rating : 4./5 ( download)

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Book Synopsis PRÉVISION DE SÉRIES TEMPORELLES À L'AIDE DE RÉSEAUX NEURONAUX. EXEMPLES AVEC MATLAB by : CESAR PEREZ LOPEZ

Download or read book PRÉVISION DE SÉRIES TEMPORELLES À L'AIDE DE RÉSEAUX NEURONAUX. EXEMPLES AVEC MATLAB written by CESAR PEREZ LOPEZ and published by CESAR PEREZ. This book was released on with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB dispose de l'outil Neural Network Toolbox qui fournit des algorithmes, des fonctions et des applications pour créer, entraîner, visualiser et simuler des réseaux de neurones. Vous pouvez effectuer la classification, la régression, le clustering, la réduction de dimensionnalité, la prévision de séries temporelles ainsi que la modélisation et le contrôle de systèmes dynamiques. Les réseaux de neurones dynamiques sont efficaces pour la prédiction de séries temporelles. Vous pouvez utiliser l'application Neural Net Time Series pour résoudre différents types de problèmes de séries chronologiques. Dans le premier type de problème de série chronologique, vous souhaitez prédire les valeurs futures d'une série chronologique y(t) à partir des valeurs passées de cette série chronologique et des valeurs passées d'une deuxième série chronologique x(t). Cette forme de prédiction est appelée réseau autorégressif non linéaire avec entrée exogène (externe), ou NARX. Dans le deuxième type de problème de séries chronologiques, une seule série est impliquée. Les valeurs futures d'une série temporelle y(t) sont prédites uniquement à partir des valeurs passées de cette série. Cette forme de prédiction est appelée autorégressive non linéaire, ou NAR. Le troisième problème de série chronologique est similaire au premier type, dans la mesure où deux séries sont impliquées, une série d'entrée (prédicteurs) x(t) et une série de sortie (réponses) y(t). Ici, vous souhaitez prédire les valeurs de y(t) à partir des valeurs précédentes de x(t), mais sans connaître les valeurs précédentes de y(t). Ce livre développe des méthodes de prévision de séries chronologiques à l'aide de réseaux de neurones dans MATLAB.

ICREEC 2019

Author : Ahmed Belasri
Publisher : Springer Nature
ISBN 13 : 9811554447
Total Pages : 659 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis ICREEC 2019 by : Ahmed Belasri

Download or read book ICREEC 2019 written by Ahmed Belasri and published by Springer Nature. This book was released on 2020-06-10 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights peer reviewed articles from the 1st International Conference on Renewable Energy and Energy Conversion, ICREEC 2019, held at Oran in Algeria. It presents recent advances, brings together researchers and professionals in the area and presents a platform to exchange ideas and establish opportunities for a sustainable future. Topics covered in this proceedings, but not limited to, are photovoltaic systems, bioenergy, laser and plasma technology, fluid and flow for energy, software for energy and impact of energy on the environment.

Dynamique Non-linéaire Et Le Chaos

Author :
Publisher :
ISBN 13 :
Total Pages : 130 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Dynamique Non-linéaire Et Le Chaos by :

Download or read book Dynamique Non-linéaire Et Le Chaos written by and published by . This book was released on 1993 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modelling Environmental Dynamics

Author : Martin Paegelow
Publisher : Springer Science & Business Media
ISBN 13 : 3540684980
Total Pages : 405 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Modelling Environmental Dynamics by : Martin Paegelow

Download or read book Modelling Environmental Dynamics written by Martin Paegelow and published by Springer Science & Business Media. This book was released on 2008-07-16 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modelling environmental dynamics is critical to understanding and predicting the evolution of the environment in response to the large number of influences including urbanisation, climate change and deforestation. Simulation and modelling provide support for decision making in environmental management. The first chapter introduces terminology and provides an overview of methodological modelling approaches which may be applied to environmental and complex dynamics. Based on this introduction this book illustrates various models applied to a large variety of themes: deforestation in tropical regions, fire risk, natural reforestation in European mountains, agriculture, biodiversity, urbanism, climate change and land management for decision support, etc. These case studies, provided by a large international spectrum of researchers and presented in a uniform structure, focus particularly on methods and model validation so that this book is not only aimed at researchers and graduates but also at professionals.

Statistical Inference for Ergodic Diffusion Processes

Author : Yury A. Kutoyants
Publisher : Springer Science & Business Media
ISBN 13 : 144713866X
Total Pages : 493 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Statistical Inference for Ergodic Diffusion Processes by : Yury A. Kutoyants

Download or read book Statistical Inference for Ergodic Diffusion Processes written by Yury A. Kutoyants and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mathematical literature and presents, for the first time in book form, many new techniques and approaches.

Semiparametric Theory and Missing Data

Author : Anastasios Tsiatis
Publisher : Springer Science & Business Media
ISBN 13 : 0387373454
Total Pages : 392 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Semiparametric Theory and Missing Data by : Anastasios Tsiatis

Download or read book Semiparametric Theory and Missing Data written by Anastasios Tsiatis and published by Springer Science & Business Media. This book was released on 2007-01-15 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.

Plant Systems Biology

Author : Sacha Baginsky
Publisher : Springer Science & Business Media
ISBN 13 : 376437439X
Total Pages : 362 pages
Book Rating : 4.7/5 (643 download)

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Book Synopsis Plant Systems Biology by : Sacha Baginsky

Download or read book Plant Systems Biology written by Sacha Baginsky and published by Springer Science & Business Media. This book was released on 2007-06-25 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume aims to provide a timely view of the state-of-the-art in systems biology. The editors take the opportunity to define systems biology as they and the contributing authors see it, and this will lay the groundwork for future studies. The volume is well-suited to both students and researchers interested in the methods of systems biology. Although the focus is on plant systems biology, the proposed material could be suitably applied to any organism.

Sustainability

Author : Rao Y. Surampalli
Publisher : John Wiley & Sons
ISBN 13 : 1119433894
Total Pages : 694 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Sustainability by : Rao Y. Surampalli

Download or read book Sustainability written by Rao Y. Surampalli and published by John Wiley & Sons. This book was released on 2020-03-19 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive resource to sustainability and its application to the environmental, industrial, agricultural and food security sectors Sustainability fills a gap in the literature in order to provide an important guide to the fundamental knowledge and practical applications of sustainability in a wide variety of areas. The authors – noted experts who represent a number of sustainability fields – bring together in one comprehensive volume the broad range of topics including basic concepts, impact assessment, environmental and the socio-economic aspects of sustainability. In addition, the book covers applications of sustainability in environmental, industrial, agricultural and food security, as well as carbon cycle and infrastructural aspects. Sustainability addresses the challenges the global community is facing due to population growth, depletion of non-renewable resources of energy, environmental degradation, poverty, excessive generation of wastes and more. Throughout the book the authors discuss the economics, ecological, social, technological and systems perspectives of sustainability. This important resource: Explores the fundamentals as well as the key concepts of sustainability; Covers basic concepts, impact assessment, environmental and socio-economic aspects, applications of sustainability in environmental, industrial, agricultural and food security, carbon cycle and infrastructural aspects; Argues the essentiality of sustainability in ensuring the propitious future of earth systems; and Authored by experts from a range of various fields related to sustainability. Written for researchers and scientists, students and academics, Sustainability: Fundamentals and Applications is a comprehensive book that covers the basic knowledge of the topic combined with practical applications.

Neuroscientific Foundations of Anesthesiology

Author : George A. Mashour
Publisher : Oxford University Press
ISBN 13 : 0190453303
Total Pages : 296 pages
Book Rating : 4.1/5 (94 download)

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Book Synopsis Neuroscientific Foundations of Anesthesiology by : George A. Mashour

Download or read book Neuroscientific Foundations of Anesthesiology written by George A. Mashour and published by Oxford University Press. This book was released on 2011-10-05 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the perioperative care of patients by anesthesiologists draws on diverse clinical skills, the principles of anesthesiology and pain management are rooted in the neurosciences. The Neuroscientific Foundations of Anesthesiology thoroughly examines the anesthetic modulation of the central, peripheral, and autonomic nervous systems and will help redefine anesthesiology as a fundamentally neuroscientific field. The book is organized by sections, with each focusing on a different part of the nervous system. State-of-the-art chapters written by thought-leaders in anesthesiology and neuroscience provide a novel and invaluable resource.

Interactive Dashboards and Data Apps with Plotly and Dash

Author : Elias Dabbas
Publisher : Packt Publishing Ltd
ISBN 13 : 1800560354
Total Pages : 364 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Interactive Dashboards and Data Apps with Plotly and Dash by : Elias Dabbas

Download or read book Interactive Dashboards and Data Apps with Plotly and Dash written by Elias Dabbas and published by Packt Publishing Ltd. This book was released on 2021-05-21 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build web-based, mobile-friendly analytic apps and interactive dashboards with Python Key Features Develop data apps and dashboards without any knowledge of JavaScript Map different types of data such as integers, floats, and dates to bar charts, scatter plots, and more Create controls and visual elements with multiple inputs and outputs and add functionality to the app as per your requirements Book DescriptionPlotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you’re getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways. Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it. Next, you’ll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them. By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.What you will learn Find out how to run a fully interactive and easy-to-use app Convert your charts to various formats including images and HTML files Use Plotly Express and the grammar of graphics for easily mapping data to various visual attributes Create different chart types, such as bar charts, scatter plots, histograms, maps, and more Expand your app by creating dynamic pages that generate content based on URLs Implement new callbacks to manage charts based on URLs and vice versa Who this book is for This Plotly Dash book is for data professionals and data analysts who want to gain a better understanding of their data with the help of different visualizations and dashboards – and without having to use JS. Basic knowledge of the Python programming language and HTML will help you to grasp the concepts covered in this book more effectively, but it’s not a prerequisite.

Speech Enhancement

Author : Philipos C. Loizou
Publisher : CRC Press
ISBN 13 : 1466599227
Total Pages : 715 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Speech Enhancement by : Philipos C. Loizou

Download or read book Speech Enhancement written by Philipos C. Loizou and published by CRC Press. This book was released on 2013-02-25 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of mobile devices and hearing devices, including hearing aids and cochlear implants, there is a growing and pressing need to design algorithms that can improve speech intelligibility without sacrificing quality. Responding to this need, Speech Enhancement: Theory and Practice, Second Edition introduces readers to the basic pr

Flow Sensing in Air and Water

Author : Horst Bleckmann
Publisher : Springer Science & Business Media
ISBN 13 : 364241446X
Total Pages : 558 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Flow Sensing in Air and Water by : Horst Bleckmann

Download or read book Flow Sensing in Air and Water written by Horst Bleckmann and published by Springer Science & Business Media. This book was released on 2014-01-22 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, leading scientists in the fields of sensory biology, neuroscience, physics and engineering explore the basic operational principles and behavioral uses of flow sensing in animals and how they might be applied to engineering applications such as autonomous control of underwater or aerial vehicles. Although humans possess no flow-sensing abilities, countless aquatic (e.g. fish, cephalopods and seals), terrestrial (e.g. crickets and spiders) and aerial (e.g. bats) animals have flow sensing abilities that underlie remarkable behavioral feats. These include the ability to follow silent hydrodynamic trails long after the trailblazer has left the scene, to form hydrodynamic images of their environment in total darkness, and to swim or fly efficiently and effortlessly in the face of destabilizing currents and winds.

Machine Learning for Data Streams

Author : Albert Bifet
Publisher : MIT Press
ISBN 13 : 0262346052
Total Pages : 262 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Machine Learning for Data Streams by : Albert Bifet

Download or read book Machine Learning for Data Streams written by Albert Bifet and published by MIT Press. This book was released on 2018-03-16 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.

Production of Juvenile Atlantic Salmon, Salmo Salar, in Natural Waters

Author : National Research Council Canada
Publisher : NRC Research Press
ISBN 13 : 9780660149547
Total Pages : 276 pages
Book Rating : 4.1/5 (495 download)

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Book Synopsis Production of Juvenile Atlantic Salmon, Salmo Salar, in Natural Waters by : National Research Council Canada

Download or read book Production of Juvenile Atlantic Salmon, Salmo Salar, in Natural Waters written by National Research Council Canada and published by NRC Research Press. This book was released on 1993 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up-to-date information, knowledge and research in progress in scientific fields related to natural production of juvenile Atlantic salmon and some other ecologically similar fluvial salmonids is contained in the 25 papers and 12 abstracts contained in this publication, which were prepared for an international symposium held in St. John's, Newfoundland. Studies relate to stream ecology, invertebrates and predators, habitat improvement, competitive effects, behaviour and dispersal, habitat and production of juvenile salmon, population dynamics and relationships of juvenile salmon estimates to smolt yields. A list of participants at the conference is also provided.

Natural Language Processing with PyTorch

Author : Delip Rao
Publisher : O'Reilly Media
ISBN 13 : 1491978201
Total Pages : 256 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Natural Language Processing with PyTorch by : Delip Rao

Download or read book Natural Language Processing with PyTorch written by Delip Rao and published by O'Reilly Media. This book was released on 2019-01-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems

Chaos in Yemen

Author : Isa Blumi
Publisher : Routledge
ISBN 13 : 1136941185
Total Pages : 352 pages
Book Rating : 4.1/5 (369 download)

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Book Synopsis Chaos in Yemen by : Isa Blumi

Download or read book Chaos in Yemen written by Isa Blumi and published by Routledge. This book was released on 2010-09-13 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chaos in Yemen challenges recent interpretations of Yemen’s complex social, political and economic transformations since unification in 1990. By offering a new perspective to the violence afflicting the larger region, it explains why the ‘Abdullah ‘Ali Salih regime has become the principal beneficiary of these conflicts. Adopting an inter-disciplinary approach, the author offers an alternative understanding of what is creating discord in the Red Sea region by integrating the region’s history to an interpretation of current events. In turn, by refusing to solely link Yemen to the "global struggle against Islamists," this work sheds new light on the issues policy-makers are facing in the larger Middle East. As such, this study offers an alternative perspective to Yemen’s complex domestic affairs that challenge the over-emphasis on the tribe and sectarianism. Offering an alternative set of approaches to studying societies facing new forms of state authoritarianism, this timely contribution will be of great relevance to students and scholars of the Middle East and the larger Islamic world, Conflict Resolution, Comparative Politics, and International Relations.

Elements of Causal Inference

Author : Jonas Peters
Publisher : MIT Press
ISBN 13 : 0262037319
Total Pages : 289 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Elements of Causal Inference by : Jonas Peters

Download or read book Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.