Rule Based System


Rule Based System
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Rule Based Systems For Big Data


Rule Based Systems For Big Data
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Author : Han Liu
language : en
Publisher: Springer
Release Date : 2015-09-09

Rule Based Systems For Big Data written by Han Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-09 with Technology & Engineering categories.


The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.



Rule Based System


Rule Based System
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-29

Rule Based System written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-29 with Computers categories.


What Is Rule Based System A rule-based system is used to store and modify knowledge in order to understand information in a manner that is helpful in the field of computer science. Applications and research in the field of artificial intelligence frequently make use of it. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Rule-Based System Chapter 2: Expert System Chapter 3: Inference Engine Chapter 4: Production System in Computer Science Chapter 5: Fuzzy Logic Chapter 6: Artificial Neural Network Chapter 7: Genetic Algorithm Chapter 8: Rule-Based Machine Learning Chapter 9: Logic Programming Chapter 10: Lexical Analysis (II) Answering the public top questions about rule based system. (III) Real world examples for the usage of rule based system in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of rule based system' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of rule based system.



Python Natural Language Processing


Python Natural Language Processing
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Author : Jalaj Thanaki
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-31

Python Natural Language Processing written by Jalaj Thanaki and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-31 with Computers categories.


Leverage the power of machine learning and deep learning to extract information from text data About This Book Implement Machine Learning and Deep Learning techniques for efficient natural language processing Get started with NLTK and implement NLP in your applications with ease Understand and interpret human languages with the power of text analysis via Python Who This Book Is For This book is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP in them. What You Will Learn Focus on Python programming paradigms, which are used to develop NLP applications Understand corpus analysis and different types of data attribute. Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on Learn about Features Extraction and Feature selection as part of Features Engineering. Explore the advantages of vectorization in Deep Learning. Get a better understanding of the architecture of a rule-based system. Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems. Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems. In Detail This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them. During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis. You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data. By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world. Style and approach This book teaches the readers various aspects of natural language Processing using NLTK. It takes the reader from the basic to advance level in a smooth way.



Ai For Game Developers


Ai For Game Developers
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Author : David M Bourg
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2004-07-23

Ai For Game Developers written by David M Bourg and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-23 with Computers categories.


Written for the novice AI programmer, this text introduces the reader to techniques such as finite state machines, fuzzy logic, neural networks and many others in an easy-to-understand language, supported with code samples throughout the text.



Rule Based Programming


Rule Based Programming
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Author : Thaddeus J. Kowalski
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Rule Based Programming written by Thaddeus J. Kowalski 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 2012-12-06 with Computers categories.


Rule-Based Programming is a broad presentation of the rule-based programming method with many example programs showing the strengths of the rule-based approach. The rule-based approach has been used extensively in the development of artificial intelligence systems, such as expert systems and machine learning. This rule-based programming technique has been applied in such diverse fields as medical diagnostic systems, insurance and banking systems, as well as automated design and configuration systems. Rule-based programming is also helpful in bridging the semantic gap between an application and a program, allowing domain specialists to understand programs and participate more closely in their development. Over sixty programs are presented and all programs are available from an ftp site. Many of these programs are presented in several versions allowing the reader to see how realistic programs are elaborated from `back of envelope' models. Metaprogramming is also presented as a technique for bridging the `semantic gap'. Rule-Based Programming will be of interest to programmers, systems analysts and other developers of expert systems as well as to researchers and practitioners in artificial intelligence, computer science professionals and educators.



Rule Based Expert Systems


Rule Based Expert Systems
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Author : Bruce G. Buchanan
language : en
Publisher:
Release Date : 1985

Rule Based Expert Systems written by Bruce G. Buchanan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.




Programming Expert Systems In Ops5


Programming Expert Systems In Ops5
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Author : Lee Brownston
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1985

Programming Expert Systems In Ops5 written by Lee Brownston and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computers categories.


Software -- Programming Techniques.



Intelligent Systems


Intelligent Systems
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Author : Crina Grosan
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-29

Intelligent Systems written by Crina Grosan 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 2011-07-29 with Technology & Engineering categories.


Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.



Jess In Action


Jess In Action
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Author : Ernest Friedman-Hill
language : en
Publisher:
Release Date : 2003

Jess In Action written by Ernest Friedman-Hill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Java (Computer program language) categories.




Verification And Validation Of Rule Based Expert Systems


Verification And Validation Of Rule Based Expert Systems
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Author : Suzanne Smith
language : en
Publisher: CRC Press
Release Date : 1993-08-16

Verification And Validation Of Rule Based Expert Systems written by Suzanne Smith and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-08-16 with Computers categories.


This book presents an innovative approach to verifying and validating rule-based expert systems. It features a complete set of techniques and tools that provide a more formal, objective, and automated means of carrying out verification and validation procedures. Many of the concepts behind these procedures have been adapted from conventional software, while others have required that new techniques or tools be created because of the uniqueness of rule-based expert systems. Verification and Validation of Rule-Based Expert Systems is a valuable reference for electrical engineers, software engineers, artificial intelligence experts, and computer scientists involved with object-oriented development, expert systems, and programming languages.