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Modelisation Par Reseaux De Neurones
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Author : Publisher :Odile Jacob ISBN 13 :2738186688 Total Pages :482 pages Book Rating :4.7/5 (381 download)
Download or read book written by and published by Odile Jacob. This book was released on with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Networks written by Gérard Dreyfus and published by Springer Science & Business Media. This book was released on 2005-11-25 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.
Book Synopsis Syntaxe théorique et formelle, Volume 1: Modélisation, unités, structures by : Sylvain Kahane
Download or read book Syntaxe théorique et formelle, Volume 1: Modélisation, unités, structures written by Sylvain Kahane and published by BoD – Books on Demand. This book was released on 2022-08-29 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conçu comme une introduction générale à la syntaxe, cet ouvrage présente les notions de base nécessaires à une étude de la combinaison des unités lexicales et grammaticales au sein d’un énoncé. Sans se placer dans un cadre préconçu, l’ouvrage étudie les différentes possibilités pour la représentation des structures syntaxiques, en fonction des principes généraux et des critères particuliers retenus. Élaboré avec l’objectif de fournir une base pour l’enseignement de la syntaxe à l’université, cet ouvrage souhaite montrer qu’on peut dégager de manière méthodique les propriétés des langues et mettre de l’ordre dans la forêt vierge que constitue chaque langue. Il est divisé en trois parties : comment élaborer le modèle d’une langue, comment déterminer les unités de base de la langue en fonction de leur sens, forme et combinatoire, comment définir et représenter les différents modes d’organisation des unités. Cette dernière partie présente une abondance de diagrammes syntaxiques de diverses natures. L’ouvrage est découpé en de petites sections, alternant le contenu principal avec des éclairages, des notes historiques, des élaborations plus formelles, des exemples linguistiques dans diverses langues, des propositions de lectures additionnelles et des exercices avec des éléments de correction. Kim Gerdes et Sylvain Kahane collaborent depuis 20 ans et ont publié ensemble plus de 40 articles. Ils se sont intéressés à différents aspects de la syntaxe des langues. Après avoir travaillé sur la modélisation formelle de l’ordre des mots en allemand et en français, ils ont commencé à partir de 2008 à développer des corpus annotés en syntaxe de dépendance pour le français parlé, s’intéressant à la fois aux problèmes théoriques de l’analyse en dépendance et aux questions plus particulièrement posées par les productions orales, notamment concernant les limites de la syntaxe. Conceived as a general introduction to syntax, this book presents the basic concepts necessary for a study of the combination of lexical and grammatical units within an utterance. The book does not impose a preconceived framework, but rather examines the various possibilities for the representation of syntactic structures, according to the general principles and specific criteria that have been adopted. The aim of this book is to provide a basis for teaching syntax at university, and to show that it is possible to identify the properties of languages in a methodical way and to put order in the jungle of each language. The book is divided into three parts: How to develop the model of a language? How to determine the basic units of a language according to their meaning, form, and combinatorial nature? How to define and represent the different ways in which the units are organized? This last part presents an abundance of syntactic diagrams of a wide range of types. The book is divided into small sections, alternating the main content with insights, historical notes, formal elaborations, linguistic examples in diverse languages, proposals for further reading, and exercises with answer keys. Kim Gerdes and Sylvain Kahane have been collaborating for 20 years and have published together more than 40 articles. They have been interested in different aspects of the syntax of languages. After working on formal modeling of word order in German and French, they started in 2008 to develop annotated corpora in dependency syntax for spoken French, focusing both on theoretical problems of dependency analysis and on questions more specifically raised by oral productions, notably concerning the limits of syntax.
Book Synopsis Artificial Intelligence and Big Data by : Fernando Iafrate
Download or read book Artificial Intelligence and Big Data written by Fernando Iafrate and published by John Wiley & Sons. This book was released on 2018-02-14 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.
Book Synopsis Application Of Neural Networks And Other Learning Technologies In Process Engineering by : M A Hussain
Download or read book Application Of Neural Networks And Other Learning Technologies In Process Engineering written by M A Hussain and published by World Scientific. This book was released on 2001-04-02 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a follow-up to the IChemE symposium on “Neural Networks and Other Learning Technologies”, held at Imperial College, UK, in May 1999. The interest shown by the participants, especially those from the industry, has been instrumental in producing the book. The papers have been written by contributors of the symposium and experts in this field from around the world. They present all the important aspects of neural network utilisation as well as show the versatility of neural networks in various aspects of process engineering problems — modelling, estimation, control, optimisation and industrial applications.
Book Synopsis Simulation for Cyber-Physical Systems Engineering by : José L. Risco Martín
Download or read book Simulation for Cyber-Physical Systems Engineering written by José L. Risco Martín and published by Springer Nature. This book was released on 2020-11-07 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book examines a range of examples, prepared by a diverse group of academic and industry practitioners, which demonstrate how cloud-based simulation is being extensively used across many disciplines, including cyber-physical systems engineering. This book is a compendium of the state of the art in cloud-based simulation that instructors can use to inform the next generation. It highlights the underlying infrastructure, modeling paradigms, and simulation methodologies that can be brought to bear to develop the next generation of systems for a highly connected society. Such systems, aptly termed cyber-physical systems (CPS), are now widely used in e.g. transportation systems, smart grids, connected vehicles, industrial production systems, healthcare, education, and defense. Modeling and simulation (M&S), along with big data technologies, are at the forefront of complex systems engineering research. The disciplines of cloud-based simulation and CPS engineering are evolving at a rapid pace, but are not optimally supporting each other’s advancement. This book brings together these two communities, which already serve multi-disciplinary applications. It provides an overview of the simulation technologies landscape, and of infrastructure pertaining to the use of cloud-based environments for CPS engineering. It covers the engineering, design, and application of cloud simulation technologies and infrastructures applicable for CPS engineering. The contributions share valuable lessons learned from developing real-time embedded and robotic systems deployed through cloud-based infrastructures for application in CPS engineering and IoT-enabled society. The coverage incorporates cloud-based M&S as a medium for facilitating CPS engineering and governance, and elaborates on available cloud-based M&S technologies and their impacts on specific aspects of CPS engineering.
Book Synopsis Neuronal Information Processing, From Biological Data To Modelling And Application by : P Combe
Download or read book Neuronal Information Processing, From Biological Data To Modelling And Application written by P Combe and published by World Scientific. This book was released on 1999-05-31 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in the neurosciences have considerably modified our knowledge of both the operating modes of neurons and information processing in the cortex. Multi-unit recordings have enabled temporal correlations to be detected, within temporal windows of the order of 1ms. Oscillations corresponding to a quasi-periodic spike-giving, synchronized over several visual cortical areas, have been observed in anaesthesized cats and monkeys. Recent studies have also focused on the role played by the dendritic arborization.These developments have led to considerable interest in a coding scheme which relies on precise spatio-temporal patterns from both the theoretical and experimental points of view. This prompts us to look into new models for information processing which will proceed, for example, from a synchronous detection of correlated spike giving, and is particularly robust against noise. Such models could bring about original technical applications for information processing and control.Further developments in this field may be of major importance for our understanding of the basic mechanisms of perception and cognition. They could also lead to new concepts in applications directed towards artificial perception and pattern recognition. Up to now, artificial systems for pattern recognition are far from reaching the standards of human vision. Systems based on a temporal coding by spikes may now be expected to bring about major improvements in this field.This book covers the lectures delivered at a summer school on neuronal information processing. It includes information on all the above-mentioned developments, and also provides the reader with the state-of-the-art in every relevant field, including the neurosciences, physics, mathematics, and information and control theory.
Book Synopsis Machine Learning in Geomechanics 1 by : Ioannis Stefanou
Download or read book Machine Learning in Geomechanics 1 written by Ioannis Stefanou and published by John Wiley & Sons. This book was released on 2024-11-13 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics. The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them. Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.
Book Synopsis Modeling and Control of Static Converters for Hybrid Storage Systems by : Fekik, Arezki
Download or read book Modeling and Control of Static Converters for Hybrid Storage Systems written by Fekik, Arezki and published by IGI Global. This book was released on 2021-09-17 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: The energy transition initiated in recent years has enabled the growing integration of renewable production into the energy mix. Microgrids make it possible to maximize the efficiency of energy transmission from source to consumer by bringing the latter together geographically and by reducing losses linked to transport. However, the lack of inertia and the micro-grid support system makes it weak, and energy storage is necessary to ensure its proper functioning. Current storage technologies do not make it possible to provide both a large capacity of energy and power at the same time. Hybrid storage is a solution that combines the advantages of several technologies and reduces their disadvantages. Modeling and Control of Static Converters for Hybrid Storage Systems covers the modeling, control theorems, and optimization techniques that solve many scientific problems for researchers in the field of power converter control for renewable energy hybrid storage and places particular emphasis on the modeling and control of static converters for hybrid storage systems. Covering topics ranging from energy storage to power generation, this book is ideal for automation engineers, electrical engineers, mechanical engineers, professionals, scientists, academicians, master's and doctoral students, and researchers in the disciplines of electrical and mechanical engineering.
Book Synopsis Numerical Simulation, An Art of Prediction 1 by : Jean-François Sigrist
Download or read book Numerical Simulation, An Art of Prediction 1 written by Jean-François Sigrist and published by John Wiley & Sons. This book was released on 2020-04-14 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical simulation is a technique of major importance in various technical and scientific fields. Used to understand diverse physical phenomena or to design everyday objects, it plays a major role in innovation in the industrial sector. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not well-known in some economic sectors, and even less so among the general public. Simulation involves the mathematical modeling of the real world, coupled with the computing power offered by modern technology. Designed to perform virtual experiments, digital simulation can be considered as an "art of prediction". Embellished with a rich iconography and based on the testimony of researchers and engineers, this book shines a light on this little-known art. It is the first of two volumes and focuses on the principles, methods and industrial practice of numerical modeling.
Book Synopsis Neural Networks: Best Practice In Europe - Proceedings Of The Stichting Neurale Netwerken Conference 1997, Progre by : Bert Kappen
Download or read book Neural Networks: Best Practice In Europe - Proceedings Of The Stichting Neurale Netwerken Conference 1997, Progre written by Bert Kappen and published by World Scientific. This book was released on 1998-01-15 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: After the explosion of research on neural networks in the eighties, the nineties have seen a boom in industrial applications of neural networks. In contrast to the large output of publications in international neural network journals, which reflects the increase in neural network research, the large number of successful applications are less accessible. To make a survey of successful applications in industry in Europe, a project called SIENA was initiated with support from the European Community. The aim of SIENA was to assess the business impact of neural networks. Data were collected on both the supplier side and the end-user side of the market. In addition, case studies of successful 'money-making' applications using neural networks were gathered. This book contains detailed descriptions of some of the applications.
Book Synopsis Numerical Simulation, An Art of Prediction, Volume 2 by : Jean-François Sigrist
Download or read book Numerical Simulation, An Art of Prediction, Volume 2 written by Jean-François Sigrist and published by John Wiley & Sons. This book was released on 2020-02-05 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical simulation is a technique of major importance in various technical and scientific fields. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not well-known in some economic sectors, and even less so among the general public. Simulation involves the mathematical modeling of the real world, coupled with the computing power offered by modern technology. Designed to perform virtual experiments, digital simulation can be considered as an "art of prediction". Embellished with a rich iconography and based on the testimony of researchers and engineers, this book shines a light on this little-known art. It is the second of two volumes and gives examples of the uses of numerical simulation in various scientific and technical fields: agriculture, industry, Earth and universe sciences, meteorology and climate studies, energy, biomechanics and human and social sciences.
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.
Book Synopsis Solar Radiation by : Mohammadreza Aghaei
Download or read book Solar Radiation written by Mohammadreza Aghaei and published by BoD – Books on Demand. This book was released on 2022-10-26 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes up-to-date and detailed information on fundamental principles, measurement, modeling, and forecasting of solar radiation for technologies and applications of photovoltaic (PV) solar energy. The book also presents basic, modern, and contemporary knowledge and techniques of reliability and performance assessment for PV systems. It includes eleven chapters in four sections: “Introduction”, “Fundamentals, Measurements and Modeling of Solar Radiation”, “Forecasting and Characterization of Solar Radiation”, and “Solar Photovoltaic Technologies and Applications”. Chapters address such topics as fundamental principles, accurate measurements, and modeling of solar radiation; innovative methods for forecasting and characterization of solar radiation; PV technology and application, from conventional and emerging PV technologies to bifacial PV cells and modules and concentrator PV systems; and recent advances in reliability and performance assessment for PV systems, including outdoor characterization, degradation analysis, and PV power prediction.
Book Synopsis Besoins informationnels et extraction d'information : Vers une conscience artificielle by : TURENNE Nicolas
Download or read book Besoins informationnels et extraction d'information : Vers une conscience artificielle written by TURENNE Nicolas and published by Lavoisier. This book was released on 2013-02-01 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage réconcilie la philosophie, la biologie, la sociologie et les sciences cognitives grâce à un dénominateur commun, la conscience. Il en présente un aspect particulier, le concept d’auto-motivation de champ d’activité en tant que moteur biologique d’un état de conscience, et dont l’informatique systémique permet de révéler l’existence. Si la conscience est mal définie, un cadre réduit permet d’en donner une définition plus précise, observable malgré toute la complexité psychologique, sociale et technique de l’individu. Ces observations sont de deux natures : une nature d’activité principale et une nature cognitivo-linguistique, modulées par des facteurs de contrôle intrinsèques et extrinsèques. L’argument exposé consiste à présenter un état de conscience relatif à la notion de besoin informationnel instinctif, donc physiologique, et dont les traces porteuses sur les supports physiques (revues, abonnements, etc.) ou numériques (sms, web, etc.), sont analysables par l’extraction de connaissances.
Book Synopsis Neural Adaptive Control Technology by : Rafal Zbikowski
Download or read book Neural Adaptive Control Technology written by Rafal Zbikowski and published by World Scientific. This book was released on 1996-04-13 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an outgrowth of the workshop on Neural Adaptive Control Technology, NACT I, held in 1995 in Glasgow. Selected workshop participants were asked to substantially expand and revise their contributions to make them into full papers.The workshop was organised in connection with a three-year European Union funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland). A major aim of the NACT project is to develop a systematic engineering procedure for designing neural controllers for nonlinear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from Daimler-Benz.In the book emphasis is put on development of sound theory of neural adaptive control for nonlinear control systems, but firmly anchored in the engineering context of industrial practice. Therefore the contributors are both renowned academics and practitioners from major industrial users of neurocontrol.
Book Synopsis Explainable, Transparent Autonomous Agents and Multi-Agent Systems by : Davide Calvaresi
Download or read book Explainable, Transparent Autonomous Agents and Multi-Agent Systems written by Davide Calvaresi and published by Springer Nature. This book was released on 2019-09-10 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2019, held in Montreal, Canada, in May 2019. The 12 revised and extended papers presented were carefully selected from 23 submissions. They are organized in topical sections on explanation and transparency; explainable robots; opening the black box; explainable agent simulations; planning and argumentation; explainable AI and cognitive science.