Download or read book Sur l approximation et les syst mes dynamiques dans les r seaux neuronaux written by Abderrahim Labbi and published by . This book was released on 1993 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Le travail présenté dans cette thèse concerne la modélisation connexionniste de processus de décision par des méthodes mathématiques de la théorie de l'approximation et de la théorie des systèmes dynamiques. Pour cela, deux modèles mathématiques ont été introduits respectivement pour la modélisation du processus de mémoire associative et pour la modélisation de processus de prise de décision dans un environnement évolutif. Les deux modèles ont été rigoureusement analysés d'un point de vue théorique, et ont été validés respectivement sur deux applications: la reconnaissance de caractères et l'aide à la manoeuvre dans un environnement évolutif

Download or read book Identification de syst mes dynamiques non lin aires par r seaux de neurones et multimod les written by Lamine Thiaw and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette étude traite de l'identification de système dynamique non-linéaire. Une architecture multimodèle capable de surmonter certaines difficultés de l'architecture neuronale de type MLP a été étudiée. L'approche multimodèle consiste à représenter un système complexe par un ensemble de modèles de structures simples à validité limitée dans des zones bien définies. A la place de la structure affine des modèles locaux généralement utilisée, cette étude propose une structure polynômiale plus générale, capable de mieux appréhender les non-linéarités locales, réduisant ainsi le nombre de modèles locaux. L'estimation paramétrique d'une telle architecture multimodèle peut se faire suivant une optimisation linéaire, moins coûteuse en temps de calcul que l'estimation paramétrique utilisée dans une architecture neuronale. L'implantation des multimodèles récurrents, avec un algorithme d'estimation paramétrique plus souple que l'algorithme de rétro-propagation du gradient à travers le temps utilisé pour le MLP récurrent a également été effectuée. Cette architecture multimodèle permet de représenter plus facilement des modèles non-linéaires bouclés tels que les modèles NARMAX et NOE. La détermination du nombre de modèles locaux dans une architecture multimodèle nécessite la décomposition (le partitionnement) de l'espace de fonctionnement du système en plusieurs sous-espaces où sont définies les modèles locaux. Des modes de partitionnement flou (basé sur les algorithmes de« fuzzy-c-means », de « Gustafson et Kessel » et du « subtractive clustering ») ont été présentés. L'utilisation de telles méthodes nécessite l'implantation d'une architecture multimodèle où les modèles locaux peuvent être de structures différentes : polynômiales de degrés différents, neuronale ou polynômiale et neuronale. Une architecture multimodèle hétérogène répondant à ses exigences a été proposée, des algorithmes d'identification structurelles et paramétriques ont été présentés. Une étude comparative entre les architectures MLP et multimodèle a été menée. Le principal atout de l'architecture multimodèle par rapport à l'architecture neuronale de type MLP est la simplicité de l'estimation paramétrique. Par ailleurs, l'utilisation dans une architecture multimodèle d'un mode de partitionnement basé sur la classification floue permet de déterminer facilement le nombre de modèles locaux, alors que la détermination du nombre de neurones cachés pour une architecture MLP reste une tâche difficile.

Download or read book Syst mes dynamiques et connexionnisme written by Lionel Merlat and published by . This book was released on 1998 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ces deux dernières décennies ont vu l'apparition des réseaux de neurones artificiels, paradigme éloigné de leurs homologues biologiques. Ces algorithmes sont fondés sur des interconnexions d'automates rudimentaires. Or, le métabolisme des cellules biologiques est souvent traduit par un système d'équations différentielles. De nombreuses études suggèrent d'ailleurs que cette dynamique joue un rôle fondamental dans le traitement biologique de l'information. Cette thèse se propose donc d'explorer une extension des réseaux de neurones formels tirant parti de ce constat ; l'objectif étant de mieux cerner le potentiel d'une architecture basée sur le traitement analogique de l'information, et adaptée au support de calcul le plus courant actuellement : le semi-conducteur. Nous avons tout d'abord tenté d'évaluer le potentiel d'une architecture fondée sur le concept des réseaux d'oscillateurs. Pour cela, nous avons mené une étude approfondie d'un modèle de cellule biologique proposé par Hindmarsh et Rose (1985) et nous en avons dérivé un schéma de circuit électronique analogique. L'étude de la dynamique non-linéaire du modèle original dans l'espace des phases a permis de mettre en évidence les mécanismes à l'origine de sa réponse impulsionnelle particulière. Ainsi, plutôt que d'intégrer les équations selon un schéma numérique classique, nous avons recréé la dynamique analogique en nous appuyant sur les propriétés non-linéaires et capacitives du silicium, imitant ainsi les mécanismes biologiques. Nous nous sommes ensuite intéressés à l'application au traitement d'image d'un réseau de neurones à dynamique temporelle continue : le réseau de neurones cellulaires. La topologie bidimensionnelle discrète de ces réseaux en fait un candidat idéal pour le traitement d'image au niveau pixel. De plus, la dynamique continue, en forte adéquation avec le support silicium, autorise une implantation compacte et efficace permettant l'intégration de la fonction d'acquisition. Enfin, la fonction de transfert est déterminée par un jeu réduit de paramètres indépendants permettant d'élaborer des opérateurs de vision de bas niveau avec des méthodes analytiques simples. Nous approchons de la définition d'une rétine artificielle : la fusion de l'acquisition et du traitement sur un même substrat. Nous avons proposé, sur la base de cette architecture, diverses familles d'opérateurs de traitement d'image de bas niveaux.

Download or read book Identification et r glage par r seaux neuronaux artificiels des syst mes dynamiques non lin aires written by Kanaan, Hadi and published by Montréal : École polytechnique de Montréal. This book was released on 1999 with total page 222 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.

Download or read book Identification et r glage par r seaux neuronaux artificiels des syst mes dynamiques non lin aires written by Hadi Kanaan and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Download or read book Scientific Bulletin written by and published by . This book was released on 2001 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2005 with total page 918 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dynamique Non lin aire 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:

Download or read book Renewable Energy for Smart and Sustainable Cities written by Mustapha Hatti and published by Springer. This book was released on 2018-11-23 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.

Download or read book Journal de physique th orique et appliqu e written by and published by . This book was released on 1986 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advanced Applications for Artificial Neural Networks written by Adel El-Shahat and published by BoD – Books on Demand. This book was released on 2018-02-28 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.

Download or read book Theory and Practice written by Jacques Derrida and published by University of Chicago Press. This book was released on 2019-01-31 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in paperback, nine lectures from Jacques Derrida that challenge the influential Marxist distinction between thinking and acting. Theory and Practice is a series of nine lectures that Jacques Derrida delivered at the École Normale Supérieure in 1976 and 1977. The topic of “theory and practice” was associated above all with Marxist discourse and particularly the influential interpretation of Marx by Louis Althusser. Derrida’s many questions to Althusser and other thinkers aim at unsettling the distinction between thinking and acting. Derrida’s investigations set out from Marx’s “Theses on Feuerbach,” in particular the eleventh thesis, which has often been taken as a mantra for the “end of philosophy,” to be brought about by Marxist practice. Derrida argues, however, that Althusser has no such end in view and that his discourse remains resolutely philosophical, even as it promotes the theory/practice pair as primary values. This seminar also draws fascinating connections between Marxist thought and Heidegger and features Derrida’s signature reconsideration of the dichotomy between doing and thinking. This text, available for the first time in English, shows that Derrida was doing important work on Marx long before Specters of Marx. As with the other volumes in this series, it gives readers an unparalleled glimpse into Derrida’s thinking at its best—spontaneous, unpredictable, and groundbreaking.

Download or read book The Semantic Sphere 1 written by Pierre Lévy and published by John Wiley & Sons. This book was released on 2013-01-22 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new digital media offers us an unprecedented memory capacity, an ubiquitous communication channel and a growing computing power. How can we exploit this medium to augment our personal and social cognitive processes at the service of human development? Combining a deep knowledge of humanities and social sciences as well as a real familiarity with computer science issues, this book explains the collaborative construction of a global hypercortex coordinated by a computable metalanguage. By recognizing fully the symbolic and social nature of human cognition, we could transform our current opaque global brain into a reflexive collective intelligence.

Download or read book Cortex and Mind written by Joaquin M. Fuster and published by . This book was released on 2003 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a unique synthesis of the current neuroscience of cognition by one of the world's authorities in the field. The guiding principle to this synthesis is the tenet that the entirety of our knowledge is encoded by relations, and thus by connections, in neuronal networks of our cerebral cortex. Cognitive networks develop by experience on a base of widely dispersed modular cell assemblies representing elementary sensations and movements. As they develop cognitive networks organize themselves hierarchically by order of complexity or abstraction of their content. Because networks intersect profusely, sharing commong nodes, a neuronal assembly anywhere in the cortex can be part of many networks, and therefore many items of knowledge. All cognitive functions consist of neural transactions within and between cognitive networks. After reviewing the neurobiology and architecture of cortical networks (also named cognits), the author undertakes a systematic study of cortical dynamics in each of the major cognitive functions--perception, memory, attention, language, and intelligence. In this study, he makes use of a large body of evidence from a variety of methodologies, in the brain of the human as well as the nonhuman primate. The outcome of his interdisciplinary endeavor is the emergence of a structural and dynamic order in the cerebral cortex that, though still sketchy and fragmentary, mirrors with remarkable fidelity the order in the human mind.

Download or read book Practical Time Series Analysis written by Aileen Nielsen and published by O'Reilly Media. This book was released on 2019-09-20 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance