Download or read book Les r seaux de neurones affin s et leur application la commande automatique du vol written by Tsurng-Jehng Shen and published by . This book was released on 1995 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'OBJECTIF DE CETTE THESE VISE A ETENDRE L'APPLICABILITE DE LA THEORIE DE LA COMMANDE NON-LINEAIRE INVERSE PAR UTILISATION DES RESEAUX DE NEURONES ARTIFICIELS. DANS CE CADRE, ON S'INTERESSE PLUS PARTICULIEREMENT AU PILOTAGE ET AU SUIVI DE TRAJECTOIRES POUR LES AERONEFS. AINSI DANS UNE PREMIERE ETAPE, NOUS ETUDIONS LA TECHNIQUE DE LINEARISATION ENTREE-SORTIE (COMMANDE NON-LINEAIRE INVERSE) APPLIQUEE A LA POURSUITE ASYMPTOTIQUE DE TRAJECTOIRES DE REFERENCE ET LES PRINCIPAUX RESULTATS THEORIQUES SONT MIS EN EVIDENCE PAR APPLICATION DE CETTE TECHNIQUE AU PILOTAGE AUTOMATIQUE D'UN AVION. COMPTE TENU DES LIMITATIONS PRATIQUES DE CETTE APPROCHE, L'UTILISATION DES RESEAUX DE NEURONES ARTIFICIELS POUR LA MODELISATION DU SYSTEME A COMMANDER EST ETUDIEE. UNE NOUVELLE ARCHITECTURE, LES RESEAUX DE NEURONES AFFINES, ET SON ALGORITHME D'APPRENTISSAGE ASSOCIE, SONT DEVELOPPES POUR ETENDRE L'APPLICABILITE DE LA TECHNIQUE DE LINEARISATION ENTREE-SORTIE AUX SYSTEMES POUR LESQUELS ON NE DISPOSE PAS D'UN MODELE ANALYTIQUE COMPLET. FINALEMENT UNE NOUVELLE TECHNIQUE DE COMMANDE, LA COMMANDE INVERSE NEURONALE QUI EST BASEE SUR LA COMMANDE INVERSE NON-LINEAIRE ET L'UTILISATION DES RESEAUX DE NEURONES AFFINES, EST APPLIQUEE A LA COMMANDE AUTOMATIQUE DU VOL D'UN AVION POUR L'ATTERRISSAGE ET LE SUIVI DE TRAJECTOIRES EVOLUTIVES

Download or read book Commande par reseaux de neurones application au controle d un prehenseur electropneumatique written by Pierre Couturier (spécialiste en Automatique).) and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of the 8th International Conference on Sciences of Electronics Technologies of Information and Telecommunications SETIT 18 Vol 1 written by Med Salim Bouhlel and published by Springer. This book was released on 2019-07-10 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume book presents an unusually diverse selection of research papers, covering all major topics in the fields of information and communication technologies and related sciences. It provides a wide-angle snapshot of current themes in information and power engineering, pursuing a cross-disciplinary approach to do so. The book gathers revised contributions that were presented at the 2018 International Conference: Sciences of Electronics, Technologies of Information and Telecommunication (SETIT'18), held on 20–22 December 2018 in Hammamet, Tunisia. This eighth installment of the event attracted a wealth of submissions, and the papers presented here were selected by a committee of experts and underwent additional, painstaking revision. Topics covered include: · Information Processing · Human-Machine Interaction · Computer Science · Telecommunications and Networks · Signal Processing · Electronics · Image and Video This broad-scoped approach is becoming increasingly popular in scientific publishing. Its aim is to encourage scholars and professionals to overcome disciplinary barriers, as demanded by current trends in the industry and in the consumer market, which are rapidly leading toward a convergence of data-driven applications, computation, telecommunication, and energy awareness. Given its coverage, the book will benefit graduate students, researchers and practitioners who need to keep up with the latest technological advances.

Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.

Download or read book CIKM 13 written by CIKM 13 Conference Committee and published by . This book was released on 2013-10-27 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: CIKM'13: 22nd ACM International Conference on Information and Knowledge Management Oct 27, 2013-Nov 01, 2013 San Francisco, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.

Download or read book Robots on the Battlefield written by Ronan Doaré and published by Combat Studies Institute Press. This book was released on 2014 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Biosocialities Genetics and the Social Sciences written by Sahra Gibbon and published by Routledge. This book was released on 2007-07-20 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biosocialities, Genetics and the Social Sciences explores the social, cultural and economic transformations that result from innovations in genomic knowledge and technology. This pioneering collection uses Paul Rabinow’s concept of biosociality to chart the shifts in social relations and ideas about nature, biology and identity brought about by developments in biomedicine. Based on new empirical research, it contains chapters on genomic research into embryonic stem cell therapy, breast cancer, autism, Parkinson’s and IVF treatment, as well as on the expectations and education surrounding genomic research. It covers four main themes: novel modes of identity and identification, such as genetic citizenship the role of institutions, ranging from disease advocacy organizations and voluntary organizations to the state the production of biological knowledge, novel life-forms, and technologies the generation of wealth and commercial interests in biology. Including an afterword by Paul Rabinow and case studies on the UK, US, Canada, Germany, India and Israel, this book is key reading for students and researchers of the new genetics and the social sciences – particularly medical sociologists, medical anthropologists and those involved with science and technology studies.

Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.

Download or read book Category Specificity in Brain and Mind written by Emer Forde and published by Psychology Press. This book was released on 2005-07-22 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide converging evidence as to how knowledge about different categories is represented in the brain, and how this knowledge develops.

Download or read book Cost Sensitive Machine Learning written by Balaji Krishnapuram and published by CRC Press. This book was released on 2011-12-19 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/attributes for test dataCost of user feedback collect

Download or read book Reinforcement Learning second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

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.

Download or read book The GEO Handbook on Biodiversity Observation Networks written by Michele Walters and published by Springer. This book was released on 2016-11-25 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biodiversity observation systems are almost everywhere inadequate to meet local, national and international (treaty) obligations. As a result of alarmingly rapid declines in biodiversity in the modern era, there is a strong, worldwide desire to upgrade our monitoring systems, but little clarity on what is actually needed and how it can be assembled from the elements which are already present. This book intends to provide practical guidance to broadly-defined biodiversity observation networks at all scales, but predominantly the national scale and higher. This is a practical how-to book with substantial policy relevance. It will mostly be used by technical specialists with a responsibility for biodiversity monitoring to establish and refine their systems. It is written at a technical level, but one that is not discipline-bound: it should be intelligible to anyone in the broad field with a tertiary education.

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.

Download or read book Markov Decision Processes in Artificial Intelligence written by Olivier Sigaud and published by John Wiley & Sons. This book was released on 2013-03-04 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in artificial intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, reinforcement learning, partially observable MDPs, Markov games and the use of non-classical criteria). It then presents more advanced research trends in the field and gives some concrete examples using illustrative real life applications.

Download or read book Neurobiology of Umwelt written by Alain Berthoz and published by Springer Science & Business Media. This book was released on 2008-11-14 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the beginning of the 20th century, German biologist Jakob von Uexküll created the concept of "Umwelt" to denote the environment as experienced by a subject. This concept of environment differs from the idea of passive surroundings and is defined not just by physical surroundings, but is rather a "subjective universe", a space weighted with meaning. Today, neuroscience provides a new way to look at the brain’s capability to create a representation of the world. At the same time behavioural specialists are demonstrating that animals have a richer mental universe than previously known. Philosophical reflection thus finds itself with more experimental and objective data as well. Nearly a century after the publication of von Uexküll’s founding work ("Umwelt und Innenwelt der Tiere" was published in 1909), neurobiologists, psychologists, sociologists, anthropologists, ethologists, and philosophers revisit his mail concept at the light of modern science