Knowledge Based Systems For Engineers And Scientists
DOWNLOAD
Download Knowledge Based Systems For Engineers And Scientists PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Knowledge Based Systems For Engineers And Scientists 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 Systems For Engineers And Scientists
DOWNLOAD
Author : Adrian A. Hopgood
language : en
Publisher: CRC Press
Release Date : 1993-01-19
Knowledge Based Systems For Engineers And Scientists written by Adrian A. Hopgood and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-01-19 with Computers categories.
Knowledge-Based Systems for Engineers and Scientists describes the principles of knowledge-based systems and related techniques and their use in solving practical problems. The book explains a variety of techniques including the use of artificial intelligence toolkits and languages, rule-based systems, uncertainty, blackboard systems, object-oriented systems, and machine learning. The techniques are illustrated through their applications to practical problems in interpretation and diagnosis, design and selection, planning, and control. Knowledge-Based Systems for Engineers and Scientists is designed for practicing engineers and scientists wanting to learn about this exciting area of computing. It is also an excellent text for final-year undergraduate as well as graduate engineering and computer students wishing to strengthen their specialized computing skills.
Intelligent Systems For Engineers And Scientists
DOWNLOAD
Author : Adrian A. Hopgood
language : en
Publisher: CRC Press
Release Date : 2000-10-11
Intelligent Systems For Engineers And Scientists written by Adrian A. Hopgood and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-10-11 with Computers categories.
This updated version of the best-selling Knowledge-Based Systems for Engineers and Scientists (CRC Press, 1993) embraces both the explicit knowledge-based models retained from the first edition and the implicit numerical models represented by neural networks and optimization algorithms. The title change to Intelligent Systems for Engineers and Scie
Intelligent Systems For Engineers And Scientists
DOWNLOAD
Author : Adrian A. Hopgood
language : en
Publisher: CRC Press
Release Date : 2021-12-09
Intelligent Systems For Engineers And Scientists written by Adrian A. Hopgood and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-09 with Technology & Engineering categories.
The fourth edition of this bestselling textbook explains the principles of artificial intelligence (AI) and its practical applications. Using clear and concise language, it provides a solid grounding across the full spectrum of AI techniques, so that its readers can implement systems in their own domain of interest. The coverage includes knowledge-based intelligence, computational intelligence (including machine learning), and practical systems that use a combination of techniques. All the key techniques of AI are explained—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), agents, objects, frames, symbolic learning, case-based reasoning, genetic algorithms and other optimization techniques, shallow and deep neural networks, hybrids, and the Lisp, Prolog, and Python programming languages. The book also describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. Fully updated and revised, Intelligent Systems for Engineers and Scientists: A Practical Guide to Artificial Intelligence, Fourth Edition features: A new chapter on deep neural networks, reflecting the growth of machine learning as a key technique for AI A new section on the use of Python, which has become the de facto standard programming language for many aspects of AI The rule-based and uncertainty-based examples in the book are compatible with the Flex toolkit by Logic Programming Associates (LPA) and its Flint extension for handling uncertainty and fuzzy logic. Readers of the book can download this commercial software for use free of charge. This resource and many others are available at the author’s website: adrianhopgood.com. Whether you are building your own intelligent systems, or you simply want to know more about them, this practical AI textbook provides you with detailed and up-to-date guidance.
An Introduction To Knowledge Engineering
DOWNLOAD
Author : Simon Kendal
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-08
An Introduction To Knowledge Engineering written by Simon Kendal 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 2007-08-08 with Computers categories.
An Introduction to Knowledge Engineering presents a simple but detailed exp- ration of current and established work in the ?eld of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such techno- gies as expert systems, neural networks, genetic algorithms, case-based reasoning systems, data mining, intelligent agents and the associated techniques and meth- ologies. The material is reinforced by the inclusion of numerous activities that provide opportunities for the reader to engage in their own research and re?ection as they progress through the book. In addition, self-assessment questions allow the student to check their own understanding of the concepts covered. The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as knowledge engineering, arti?cial intelligence, intelligent systems, cognitive neuroscience, robotics and cybernetics. vii Contents Foreword vii 1 An Introduction to Knowledge Engineering. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Section 1: Data, Information and Knowledge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Section 2: Skills of a Knowledge Engineer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Section 3: An Introduction to Knowledge-Based Systems. . . . . . . . . . . . . . . . . 18 2 Types of Knowledge-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Section 1: Expert Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Section 2: Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 Section 3: Case-Based Reasoning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Section 4: Genetic Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Section 5: Intelligent Agents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Section 6: Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 3 Knowledge Acquisition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 4 Knowledge Representation and Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 Section 1: Using Knowledge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Section 2: Logic, Rules and Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Section 3: Developing Rule-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Section 4: Semantic Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Intelligent Systems For Engineers And Scientists
DOWNLOAD
Author : Adrian A. Hopgood
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Intelligent Systems For Engineers And Scientists written by Adrian A. Hopgood and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intellige
Knowledge Based Systems In Engineering
DOWNLOAD
Author : Adrian Hopgood
language : en
Publisher:
Release Date : 1993-09-01
Knowledge Based Systems In Engineering written by Adrian Hopgood and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-09-01 with categories.
Knowledge Based Systems
DOWNLOAD
Author : Oscar N. Garcia
language : en
Publisher:
Release Date : 1991
Knowledge Based Systems written by Oscar N. Garcia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computer engineering categories.
This tutorial text, a collection of selected papers preceded by extensive introductory material, is intended particularly for practicing computer engineers and scientists, as well as for advanced undergraduate or graduate students who want to refine their conceptual and practical appreciation of the fundamentals and tools of knowledge-based systems. The goal in choosing the 35 papers reviewed, which covers a publication span of nine years, is to both bring forth the recent and rapid evolution of the field, and give a brief and up-to-date account of where we stand today. This tutorial-integrated presentation selects papers that present fundamentals and tools, and provide copious references to other work in applications and research. The aim is to put into perspective the range of what is possible, and to avoid common pitfalls in the definition, development, management, and use of knowledge-based systems.
Development Of Knowledge Based Systems For Engineering
DOWNLOAD
Author : Carlo Tasso
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-05-08
Development Of Knowledge Based Systems For Engineering written by Carlo Tasso 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 1998-05-08 with Computers categories.
The goal of the volume is twofold: to help engineers to understand the design and development process and the specific techniques utilized for constructing expert systems in engineering and, secondly, to introduce computer specialists to significant applications of knowledge-based techniques in engineering. Among the authors are world famous experts of engineering and knowledge-based systems development.
Knowledge Based And Intelligent Information And Engineering Systems
DOWNLOAD
Author : Juan D. Velásquez
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-15
Knowledge Based And Intelligent Information And Engineering Systems written by Juan D. Velásquez 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 2009-09-15 with Business & Economics categories.
The two-volume set LNAI 5711 and LNAI 5712 constitutes the refereed proceedings of the 13th International Conference on Knowledge-Based Intelligent Information and Engineering Sysetms, KES 2009, held in Santiago de Chile in September 2009. The 153 revised papers presented were carefully reviewed and selected from numerous submissions. The topics covered are: fuzzy and neuro-fuzzy systems, agent systems, knowledge based and expert systems, miscelleanous generic intelligent systems topics, intelligent vision and image processing, knowledge management, ontologies and data mining, web intelligence, text and multimedia mining and retrieval, other advanced knowledge-based systems, innovations in chance discovery, advanced knowledge-based systems, multi-agent negotiation and coordination, innovations in intelligent systems, intelligent technology approach to management engineering, data mining and service science for innovation, knowledge-based systems for e-business, video surveillance, social networks, advanced engineering design techniques for adaptive systems, knowledge technology in learning support, advanced information system for supporting personal activity, design of intelligent society, knowledge-based interface systems, knowledge-based multi-criteria decision support, soft computing techniques and their applications, immunity-based systems. The book also includes three keynote speaker plenary presentations.
Knowledge Engineering For Modern Information Systems
DOWNLOAD
Author : Anand Sharma
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-01-19
Knowledge Engineering For Modern Information Systems written by Anand Sharma and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-19 with Computers categories.
This book presents an extensive collection of the recent findings and innovative research in the information system and knowledge engineering domain. Knowledge engineering is a field within artificial intelligence that develops in particular systems that use knowledge, rather than data, to solve many computing problems, that would usually require high levels of human expertise.