[PDF] Knowledge Based Neurocomputing - eBooks Review

Knowledge Based Neurocomputing


Knowledge Based Neurocomputing
DOWNLOAD

Download Knowledge Based Neurocomputing PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Knowledge Based Neurocomputing book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Knowledge Based Neurocomputing


Knowledge Based Neurocomputing
DOWNLOAD
Author : Ian Cloete
language : en
Publisher: MIT Press
Release Date : 2000

Knowledge Based Neurocomputing written by Ian Cloete and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.


Looking at ways to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. Explicit modeling of the knowledge represented by such a system remains a major research topic. The reason is that humans find it difficult to interpret the numeric representation of a neural network.The key assumption of knowledge-based neurocomputing is that knowledge is obtainable from, or can be represented by, a neurocomputing system in a form that humans can understand. That is, the knowledge embedded in the neurocomputing system can also be represented in a symbolic or well-structured form, such as Boolean functions, automata, rules, or other familiar ways. The focus of knowledge-based computing is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.ContributorsC. Aldrich, J. Cervenka, I. Cloete, R.A. Cozzio, R. Drossu, J. Fletcher, C.L. Giles, F.S. Gouws, M. Hilario, M. Ishikawa, A. Lozowski, Z. Obradovic, C.W. Omlin, M. Riedmiller, P. Romero, G.P.J. Schmitz, J. Sima, A. Sperduti, M. Spott, J. Weisbrod, J.M. Zurada



Knowledge Based Neurocomputing A Fuzzy Logic Approach


Knowledge Based Neurocomputing A Fuzzy Logic Approach
DOWNLOAD
Author : Eyal Kolman
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-01-17

Knowledge Based Neurocomputing A Fuzzy Logic Approach written by Eyal Kolman 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 2009-01-17 with Computers categories.


This book details the state-of-the-art in knowledge-based neurocomputing. It introduces a novel fuzzy-rule base known as Fuzzy All-permutations Rule-Base (FARB) and presents new connections between artificial neural networks and FARB.



Knowledge Based Clustering


Knowledge Based Clustering
DOWNLOAD
Author : Witold Pedrycz
language : en
Publisher: John Wiley & Sons
Release Date : 2005-05-13

Knowledge Based Clustering written by Witold Pedrycz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-13 with Technology & Engineering categories.


A comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible Includes illustrative material andwell-known experimentsto offer hands-on experience



Knowledge Based Intelligent Information Engineering Systems And Allied Technologies


Knowledge Based Intelligent Information Engineering Systems And Allied Technologies
DOWNLOAD
Author : Ernesto Damiani
language : en
Publisher: IOS Press
Release Date : 2002

Knowledge Based Intelligent Information Engineering Systems And Allied Technologies written by Ernesto Damiani and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Artificial intelligence categories.


Annotation The book contains the Proceedings of KES 2002, the Sixth Edition of the Knowledge-Based Intelligent Information & Engineering Systems International Conference. The conference papers presented new research results, focusing on three main areas of interest: Generic Intelligent Techniques: This area includes results on basic disciplines underlying knowledge-based and intelligent systems, such as artificial neural networks, machine learning, knowledge-based systems, case-based reasoning, intelligent agents and soft computing. Applications of Intelligent Systems: The second area presents results on vertical applications of intelligent systems, including condition monitoring, fault diagnosis, industrial control, medical systems, image processing, financial & stock market monitoring and prediction, natural language processing and others. Allied Technologies: This area includes novel contributions on intelligent systems' applications to traditional research fields such as digital and computer communications, signal processing, virtual reality, multi-media, web-based technologies, human-computer interfaces and software engineering."



Knowledge Based Systems


Knowledge Based Systems
DOWNLOAD
Author : Rajendra Akerkar
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2010-08-30

Knowledge Based Systems written by Rajendra Akerkar and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-30 with Computers categories.


Knowledge Based Systems (KBS) are systems that use artificial intelligence techniques in the problem solving process. This text is designed to develop an appreciation of KBS and their architecture and to help users understand a broad variety of knowledge based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters are designed to be modular providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material being presented and to stimulate thought and discussion.



Applied Decision Support With Soft Computing


Applied Decision Support With Soft Computing
DOWNLOAD
Author : Xinghuo Yu
language : en
Publisher: Springer
Release Date : 2012-12-06

Applied Decision Support With Soft Computing written by Xinghuo Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


Soft computing has provided sophisticated methodologies for the development of intelligent decision support systems. Fast advances in soft computing technologies, such as fuzzy logic and systems, artificial neural networks and evolutionary computation, have made available powerful problem representation and modelling paradigms, and learning and optimisation mechanisms for addressing modern decision making issues. This book provides a comprehensive coverage of up-to-date conceptual frameworks in broadly perceived decision support systems and successful applications. Different from other existing books, this volume predominately focuses on applied decision support with soft computing. Areas covered include planning, management finance and administration in both the private and public sectors.



The Thinking Circuit


The Thinking Circuit
DOWNLOAD
Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-19

The Thinking Circuit written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Technology & Engineering categories.


In a world awash with data, knowledge-based neurocomputing has emerged as a transformative force, revolutionizing the way we solve problems, make decisions, and navigate the complexities of the modern world. This groundbreaking field seamlessly blends the power of computation with the vastness of knowledge, creating intelligent systems capable of learning, adapting, and making informed judgments. This comprehensive book delves into the depths of knowledge-based neurocomputing, unveiling its fundamental concepts, diverse applications, and far-reaching implications. Embark on a journey through the inner workings of neural networks, exploring their intricate architectures, learning algorithms, and knowledge representation techniques. Discover how these systems harness the collective power of interconnected processing elements to mimic the remarkable capabilities of the human brain. Witness the transformative impact of knowledge-based neurocomputing across a wide spectrum of industries. From healthcare to finance, manufacturing to transportation, these systems are revolutionizing decision-making processes, optimizing operations, and unlocking new possibilities. Learn how knowledge-based neurocomputing empowers medical professionals with accurate diagnostic tools, enables financial analysts to make informed investment decisions, and helps manufacturers streamline production processes. Uncover the ethical considerations and societal implications of knowledge-based neurocomputing, as we explore the delicate balance between progress and responsibility. Delve into debates surrounding fairness, bias, privacy, and accountability, examining the challenges and opportunities of integrating these technologies into our societies. Written in a clear and engaging style, this book is accessible to readers from all backgrounds, whether you're a seasoned professional, a student eager to explore new frontiers, or simply someone fascinated by the convergence of knowledge and computation. Join us on this enlightening journey and gain a deeper understanding of knowledge-based neurocomputing, its transformative potential, and the exciting possibilities it holds for the future. Step into the world of knowledge-based neurocomputing and unlock the power of knowledge to solve the world's most pressing challenges. If you like this book, write a review on google books!



Fuzzy Cognitive Maps


Fuzzy Cognitive Maps
DOWNLOAD
Author : Michael Glykas
language : en
Publisher: Springer
Release Date : 2010-09-07

Fuzzy Cognitive Maps written by Michael Glykas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-07 with Technology & Engineering categories.


This important edited volume is the first such book ever published on fuzzy cognitive maps (FCMs). Professor Michael Glykas has done an exceptional job in bringing together and editing its seventeen chapters. The volume appears nearly a quarter century after my original article “Fuzzy Cognitive Maps” appeared in the International Journal of Man-Machine Studies in 1986. The volume accordingly reflects many years of research effort in the development of FCM theory and applications—and portends many more decades of FCM research and applications to come. FCMs are fuzzy feedback models of causality. They combine aspects of fuzzy logic, neural networks, semantic networks, expert systems, and nonlinear dynamical systems. That rich structure endows FCMs with their own complexity and lets them apply to a wide range of problems in engineering and in the soft and hard sciences. Their partial edge connections allow a user to directly represent causality as a matter of degree and to learn new edge strengths from training data. Their directed graph structure allows forward or what-if inferencing. FCM cycles or feedback paths allow for complex nonlinear dynamics. Control of FCM nonlinear dynamics can in many cases let the user encode and decode concept patterns as fixed-point attractors or limit cycles or perhaps as more exotic dynamical equilibria. These global equilibrium patterns are often “hidden” in the nonlinear dynamics. The user will not likely see these global patterns by simply inspecting the local causal edges or nodes of large FCMs.



Foundations Of Computational Intelligence


Foundations Of Computational Intelligence
DOWNLOAD
Author : Ajith Abraham
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-05

Foundations Of Computational Intelligence written by Ajith Abraham 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 2009-05-05 with Computers categories.


Recent years have seen numerous applications across a variety of fields using various techniques of Computational Intelligence. This book, one of a series on the foundations of Computational Intelligence, is focused on learning and approximation.



Computational Science And Its Applications Iccsa 2011


Computational Science And Its Applications Iccsa 2011
DOWNLOAD
Author : Beniamino Murgante
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-15

Computational Science And Its Applications Iccsa 2011 written by Beniamino Murgante 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 2011-06-15 with Computers categories.


The five-volume set LNCS 6782 - 6786 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2011, held in Santander, Spain, in June 2011. The five volumes contain papers presenting a wealth of original research results in the field of computational science, from foundational issues in computer science and mathematics to advanced applications in virtually all sciences making use of computational techniques. The topics of the fully refereed papers are structured according to the five major conference themes: geographical analysis, urban modeling, spatial statistics; cities, technologies and planning; computational geometry and applications; computer aided modeling, simulation, and analysis; and mobile communications.