Dynamic Learning Network Edition
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Author | : Aldo Romano |
Publisher | : Springer Science & Business Media |
Total Pages | : 192 |
Release | : 2009-05-28 |
Genre | : Computers |
ISBN | : 1441902511 |
Dynamic Learning Networks: Models and Cases in Action represents an attempt to provide a network perspective of organizational learning to drive dynamic competition through extended firm learning processes. This edited volume, contributed by worldwide experts in the field, provides academics and company managers with an extended view of organizational learning networks from real cases and different perspectives. Dynamic Learning Networks: Models and Cases in Action is based on the workshop, Managing Uncertainty and Competition through Dynamic Learning Networks. It was organized by the E-Business Management Section of Scuola Superiore ISUFI – University of Salento (Italy) – and held in Ostuni (Italy) in July 2008. Dynamic Learning Networks: Models and Cases in Action is designed for a professional audience, composed of researchers and practitioners working in corporate learning. This volume is also suitable for advanced-level students in computer science.
Author | : Richard Gross |
Publisher | : |
Total Pages | : |
Release | : 2010-06-25 |
Genre | : |
ISBN | : 9781444108323 |
500,000 students later Gross continues to set the standard for Psychology textbooks, and now in digital resources too. This extensive multimedia Dynamic Learning resource package will support students and tutors in Psychology who want to bring the subject alive, stretch their knowledge and achieve better grades. Just as Gross the book 'does everything', this comprehensive online resources package will help students to learn and course leaders to deliver that learning. A free Dynamic Learning resources website supports students in revision, essay writing, and matching the book content to their course. A separately available set of multimedia-rich online resources can be tailored to the varied needs of course leaders. The package includes: - Lesson presentations and planning resources - Videos showcasing top Psychology researchers and their work - Matching tool mapping book content to different specifications - Personal Tutor essay advice presentations with audio -Graphical revision schemas summarising key content - Annotated web links and further reading suggestions - Multiple choice test banks pitched to different levels.
Author | : |
Publisher | : |
Total Pages | : 99 |
Release | : 2005 |
Genre | : Computer software |
ISBN | : |
Author | : Madan Gupta |
Publisher | : John Wiley & Sons |
Total Pages | : 752 |
Release | : 2004-04-05 |
Genre | : Computers |
ISBN | : 0471460923 |
Neuronale Netze haben sich in vielen Bereichen der Informatik und künstlichen Intelligenz, der Robotik, Prozeßsteuerung und Entscheidungsfindung bewährt. Um solche Netze für immer komplexere Aufgaben entwickeln zu können, benötigen Sie solide Kenntnisse der Theorie statischer und dynamischer neuronaler Netze. Aneignen können Sie sie sich mit diesem Lehrbuch! Alle theoretischen Konzepte sind in anschaulicher Weise mit praktischen Anwendungen verknüpft. Am Ende jedes Kapitels können Sie Ihren Wissensstand anhand von Übungsaufgaben überprüfen.
Author | : Wulfram Gerstner |
Publisher | : Cambridge University Press |
Total Pages | : 591 |
Release | : 2014-07-24 |
Genre | : Computers |
ISBN | : 1107060834 |
This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Author | : K. I. Diamantaras |
Publisher | : Wiley-Interscience |
Total Pages | : 282 |
Release | : 1996-03-08 |
Genre | : Computers |
ISBN | : |
Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination of the mathematical, algorithmic, application and architectural aspects of principal component neural networks. Using a unified formulation, the authors present neural models performing PCA from the Hebbian learning rule and those which use least squares learning rules such as back-propagation. Examines the principles of biological perceptual systems to explain how the brain works. Every chapter contains a selected list of applications examples from diverse areas.
Author | : Jennie Si |
Publisher | : John Wiley & Sons |
Total Pages | : 670 |
Release | : 2004-08-02 |
Genre | : Technology & Engineering |
ISBN | : 9780471660545 |
A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code Provides a tutorial that readers can use to start implementing the learning algorithms provided in the book Includes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implemented The contributors are leading researchers in the field
Author | : Ben Walsh |
Publisher | : |
Total Pages | : |
Release | : 2007-06-29 |
Genre | : Germany |
ISBN | : 9780340945834 |
Based on the textbook Germany 1918-1945 for the SHP and Modern World History syllabus for OCR, AQA and Edexcel, this CD-ROM brings the book to life by providing each element of the Student's Book in a digital format including: all of the visuals available to be used however you want them; video clips with associated activities; and more.
Author | : Kenneth J. Hunt |
Publisher | : Springer Science & Business Media |
Total Pages | : 285 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1447130669 |
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, .... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Within the control community there has been much discussion of and interest in the new Emerging Technologies and Methods. Neural networks along with Fuzzy Logic and Expert Systems is an emerging methodology which has the potential to contribute to the development of intelligent control technologies. This volume of some thirteen chapters edited by Kenneth Hunt, George Irwin and Kevin Warwick makes a useful contribution to the literature of neural network methods and applications. The chapters are arranged systematically progressing from theoretical foundations, through the training aspects of neural nets and concluding with four chapters of applications. The applications include problems as diverse as oven tempera ture control, and energy/load forecasting routines. We hope this interesting but balanced mix of material appeals to a wide range of readers from the theoretician to the industrial applications engineer.
Author | : Roel Rutten |
Publisher | : Routledge |
Total Pages | : 311 |
Release | : 2014-06-27 |
Genre | : Business & Economics |
ISBN | : 1135130108 |
The social dynamics of innovation networks captures the important role of trust, social capital, institutions and norms and values in the creation of knowledge in innovation networks. In doing so, this book connects to a long-standing debate on the socio-spatial context of innovation in economic geography, which is usually referred to as the Territorial Models of Innovation (TIMs) literature. This present volume breaks with the TIM literature in several important ways. In the first place, this book emphasizes the role of individual agency because individuals and their networks are increasingly recognized as the principal agents of knowledge creation. Secondly, this volume looks at space as a continuous field of opportunity rather than as bounded territory with a set of endowments, such as knowledge base and social capital. Although individually these elements are not new to the TIM literature, it has thus far failed to grasp their critical implication for studying the social dynamics of innovation networks. The approach to the socio-spatial context of innovation in this volume is summarized as Knowledge Economy 2.0. It emphasizes that human creativity is now the main source of economic value and that human creativity and knowledge creation is not an organized process within organizations, but happens bottom up in formal and informal professional and social networks of individuals that cut across multiple organizations.