Associative Networks
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Adaptive And Natural Computing Algorithms
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Author : Bernadete Ribeiro
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-12
Adaptive And Natural Computing Algorithms written by Bernadete Ribeiro and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-12 with Computers categories.
The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.
Pathfinder Associative Networks
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Author : Roger W. Schvaneveldt
language : en
Publisher: Intellect (UK)
Release Date : 1990
Pathfinder Associative Networks written by Roger W. Schvaneveldt and has been published by Intellect (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Pathfinder networks organize data in terms of similarity, relatedness, and psychological distance, and are expressed as graphs. The 19 papers here report theoretical, empirical, and applied work since such networks were developed in 1981. Annotation copyrighted by Book News, Inc., Portland, OR
Neural Networks And Deep Learning Fundamentals
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Author : Dr.Kuncham Sreenivasa Rao
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-07-08
Neural Networks And Deep Learning Fundamentals written by Dr.Kuncham Sreenivasa Rao and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-08 with Computers categories.
Dr.Kuncham Sreenivasa Rao, Associate Professor, Department of Computer Science and Engineering, Faculty of Science and Technology (ICFAI Tech), ICFAI Foundation for Higher Education (IFHE), Hyderabad, Telangana, India. Dr.Ugendhar Addagatla, Associate Professor, Department of Computer Science and Engineering, Maturi Venkata Subba Rao (MVSR) Engineering College, Nadergul, Hyderabad, Telangana, India. Dr.Rajitha Kotoju, Assistant Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, Telangana, India.
Neural Networks
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Author : Raul Rojas
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Neural Networks written by Raul Rojas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Computers categories.
Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.
Statistical Learning Using Neural Networks
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Author : Basilio de Braganca Pereira
language : en
Publisher: CRC Press
Release Date : 2020-09-01
Statistical Learning Using Neural Networks written by Basilio de Braganca Pereira and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Business & Economics categories.
Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more effort from readers, who can learn the theory and its applications in statistical methods with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with Python code examples, which are available online. It is suitable for scientists and developers as well as graduate students. Key Features: Discusses applications in several research areas Covers a wide range of widely used statistical methodologies Includes Python code examples Gives numerous neural network models This book covers fundamental concepts on Neural Networks including Multivariate Statistics Neural Networks, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference Results. This book is suitable for both teaching and research. It introduces neural networks and is a guide for outsiders of academia working in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.
Computer Network Security
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Author : Igor Kotenko
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-11
Computer Network Security written by Igor Kotenko and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-11 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Conference on Mathematical Methods, Models, and Architectures for Computer Network Security, MMM-ACNS 2010, held in St. Petersburg, Russia in September 2010. The 16 revised full papers and 6 revised short papers presented together with 5 invited papers were carefully reviewed and selected from a total of 54 submissions. The papers are organized in topical sections on security modeling and covert channels, security policies and formal analysis of security properties, authentication, authorization, access control and public key cryptography, intrusion and malware detection, security of multi-agent systems and software protection, as well as. adaptive security, security analysis and virtualization.
Artificial Intelligence In Daily Life
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Author : Raymond S. T. Lee
language : en
Publisher: Springer Nature
Release Date : 2020-08-22
Artificial Intelligence In Daily Life written by Raymond S. T. Lee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-22 with Computers categories.
Given the exponential growth of Artificial Intelligence (AI) over the past few decades, AI and its related applications have become part of daily life in ways that we could never have dreamt of only a century ago. Our routines have been changed beyond measure by robotics and AI, which are now used in a vast array of services. Though AI is still in its infancy, we have already benefited immensely. This book introduces readers to basic Artificial Intelligence concepts, and helps them understand the relationship between AI and daily life. In the interest of clarity, the content is divided into four major parts. Part I (AI Concepts) presents fundamental concepts of and information on AI; while Part II (AI Technology) introduces readers to the five core AI Technologies that provide the building blocks for various AI applications, namely: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), and Ontology-based Search Engine (OSE). In turn, Part III (AI Applications) reviews major contemporary applications that are impacting our ways of life, working styles and environment, ranging from intelligent agents and robotics to smart campus and smart city projects. Lastly, Part IV (Beyond AI) addresses related topics that are vital to the future development of AI. It also discusses a number of critical issues, such as AI ethics and privacy, the development of a conscious mind, and autonomous robotics in our daily lives.
Arguing For A General Framework For Mass Media Scholarship
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Author : W. James Potter
language : en
Publisher: SAGE
Release Date : 2008-12-11
Arguing For A General Framework For Mass Media Scholarship written by W. James Potter and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-11 with Language Arts & Disciplines categories.
"Arguing for a General Framework for Mass Media Scholarship challenges scholars and students to consider and reconsider what we know about media and how we think about media. As such, the book provides an important framework for thinking about knowledge—regardless of the discipline... The text provides all of the necessary tools to move the field forward in a way that will increase the rigor of the work being done and augment the overall profile of the discipline." –Dana Mastro, University of Arizona In this groundbreaking book, W. James Potter presents an innovative perspective to media scholars and students who are frustrated with the fragmentation of research findings across so many journals, books, and fields. Arguing for a General Framework for Mass Media Scholarship presents a clear plan for a more efficient way to build knowledge about the mass media so that it can be better organized and made more useful. Key Features Conducts an in-depth analysis of mass media scholarship′s four major facets of effects, content, audiences, and organizations Presents a significant shift in conceptualizing media effects and ways research can be conducted to generate more useful knowledge about media influence Develops "narrative line" as a tool to guide analyses about how content decisions are made by producers Synthesizes a system of explanation about why audiences attend to certain messages and how individuals construct meaning from those messages Incorporates an analysis of mass media organizations to provide greater context of understanding messages and their effects on individuals and macro units in society "The book will play an important role in providing structure to a broad, fragmented discipline. I believe it will, at the very least, create important dialogues about what we now know/understand about areas of mass media, and where we should move as a discipline... This book is clearly a ′call to arms′ for mass media scholars to ratchet up the quality of research (and what we know), to see the interconnections within and among strands of scholarship, and to move forward in a more efficient, organized manner. Professor Potter should be commended for this." —Roger Cooper, Ohio University "This book is...that call to action that comes forward every few years, to wake us up and challenge our ways of doing things, not by being radical, but via synthesis... I′ve been waiting for several years for a book like this." —Sahara Byrne, Cornell University
The Symbolic And Connectionist Paradigms
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Author : John Dinsmore
language : en
Publisher: Psychology Press
Release Date : 2014-01-14
The Symbolic And Connectionist Paradigms written by John Dinsmore and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-14 with Psychology categories.
The modern study of cognition finds itself with two widely endorsed but seemingly incongruous theoretical paradigms. The first of these, inspired by formal logic and the digital computer, sees reasoning in the principled manipulation of structured symbolic representations. The second, inspired by the physiology of the brain, sees reasoning as the behavior that emerges from the direct interactions found in large networks of simple processing components. Each paradigm has its own accomplishments, problems, methodology, proponents, and agenda. This book records the thoughts of researchers -- from both computer science and philosophy -- on resolving the debate between the symbolic and connectionist paradigms. It addresses theoretical and methodological issues throughout, but at the same time exhibits the current attempts of practicing cognitive scientists to solve real problems.
Handbook Of Neural Computation
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Author : E Fiesler
language : en
Publisher: CRC Press
Release Date : 2020-01-15
Handbook Of Neural Computation written by E Fiesler and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-15 with Computers categories.
The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl