Object-oriented Artificial Intelligence Using C++ PDF Download
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Author: Kim W. Tracy
Publisher: W H Freeman & Company
ISBN: 9780716782940
Category : Computers
Languages : en
Pages : 468
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Book Description
This innovative text presents the first full integration of object-oriented programming and the principles of artificial intelligence, using the popular language C++ as the medium to implement object-oriented designs.
Author: Kim W. Tracy
Publisher: W H Freeman & Company
ISBN: 9780716782940
Category : Computers
Languages : en
Pages : 468
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Book Description
This innovative text presents the first full integration of object-oriented programming and the principles of artificial intelligence, using the popular language C++ as the medium to implement object-oriented designs.
Author: Joey Rogers
Publisher: Morgan Kaufmann
ISBN: 9780125931151
Category : Computers
Languages : en
Pages : 326
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Book Description
"This book is distinctive in that it implements nodes and links as base objects and then composes them into four different kinds of neural networks. Roger's writing is clear....The text and code are both quite readable. Overall, this book will be useful to anyone who wants to implement neural networks in C++ (and, to a lesser extent, in other object-oriented programming languages.)...I recommend this book to anyone who wants to implement neural networks in C++."--D.L. Chester, Newark, Delaware in COMPUTING REVIEWSObject-Oriented Neural Networks in C++ is a valuable tool for anyone who wants to understand, implement, or utilize neural networks. This book/disk package provides the reader with a foundation from which any neural network architecture can beconstructed. The author has employed object-oriented design and object-oriented programming concepts to develop a set of foundation neural network classes, and shows how these classes can be used to implement a variety of neural network architectures with a great deal of ease and flexibility. A wealth of neural network formulas (with standardized notation), object code implementations, and examples are provided to demonstrate the object-oriented approach to neural network architectures and to facilitatethe development of new neural network architectures. This is the first book to take full advantage of the reusable nature of neural network classes. Key Features * Describes how to use the classes provided to implement a variety of neural network architectures including ADALINE, Backpropagation, Self-Organizing, and BAM * Provides a set of reusable neural network classes, created in C++, capable of implementing any neural network architecture * Includes an IBM disk of the source code for the classes, which is platform independent * Includes an IBM disk with C++ programs described in the book
Author: Phil Culliton
Publisher:
ISBN: 9781786468406
Category :
Languages : en
Pages : 569
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Book Description
Get introduced to the concepts of Machine Learning and build efficient data models in C++About This Book* Get introduced to the concepts of Machine Learning and see how you can implement them in C++, and build efficient data models for training data using popular libraries such as mlpack and Shark* A detailed guide packed with real-life examples to help you build a solid understanding of Machine Learning.Who This Book Is ForThe target audience is C++ developers who want to get into machine learning, or knowledgeable ML programmers who don't know C++ well but want to use it, and libraries written in it, in their work. The reader should be conversant with at least one programming language, and have some familiarity with strongly-typed languages and vectors/matrices.What you will learn* Model relationships in your data using supervised learning* Uncover insights using clustering and t-SNE* Use ensemble and stack to create more powerful models* Use cuda-convnet and deep learning to solve image recognition problems* Build an end-to-end pipeline that turns what you learn into practical, ready-to-use software* Solve big data problems using Hadoop and Google's MR4CIn DetailMachine Learning tasks are CPU time-consuming. C++ outperforms any other programming language by allowing access to programming constructs to optimize CPU-based number crunching, precision, and memory management normally abstracted away in higher-level languages.This book aims to address the challenges associated with C++ machine learning by introducing you to several useful libraries (mlpack, Shogun, and so on); you'll producing a library of your own code along the way that should make common tasks more straightforward.We begin with a review of the basic concepts you will need to know or brush up on before going further, including math and an intro to the C++ style we'll be using throughout the book. We then deal with the fundamentals of ML-how to handle input, the basic algorithms, and sample cases where the basic algorithms succeed or fail. This is followed by more advanced topics such as complex algorithms, regularization, optimization, and visualizing and understanding data, referring back to earlier work consistently so that you can see the mountains move. We'll then touch upon topics of current interest: computer vision (including sections on CUDA and "deep" learning), natural language processing, and handling very large datasets.The journey ends with a coda: we go back through the original sample cases, applying what we've learned along the way to rectify the issues we ran into initially.
Author: Peter Norvig
Publisher: Morgan Kaufmann
ISBN: 0080571158
Category : Computers
Languages : en
Pages : 975
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Book Description
Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
Author: Nils J. Nilsson
Publisher: Morgan Kaufmann
ISBN: 1558604677
Category : Computers
Languages : en
Pages : 537
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Book Description
Nilsson employs increasingly capable intelligent agents in an evolutionary approach--a novel perspective from which to view and teach topics in artificial intelligence.
Author: Cameron Hughes
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 516
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Book Description
A developer's guide to writing thread-safe object-oriented applications. Drawing on years of programming experience, Cameron and Tracey Hughes provide a building-block approach to developing multithreaded applications in C++. This book offers programmers the first comprehensive explanation of multithreading techniques and principles for objects and class libraries. It teaches C++ programmers everything they'll need to build applications that cooperate for system resources instead of competing. This invaluable reference shows you how to avoid common pitfalls of multithreading, whether you're programming in UNIX, Windows NT, or OS/2 environment. All major examples are implemented in each environment and supported by thorough explanations of object-oriented multithread architecture and incremental multithreading. On the disk you'll find: * All the source code contained in the book * Important protocols and information resources * A variety of multithreaded components ready to build into your own applications or class library. You'll find a wealth of coverage on highly practical but little understood topics like: * Thread-safe container classes * POSIX threads and the new thread standard 1003.1c * STL algorithms and containers in multithread environments * C++ synchronization components * Object-oriented mutexes and semaphores * Avoiding deadlock and data race through encapsulation * Multithreaded application frameworks * Object-oriented pipe streams Visit our Web site at www.wiley.com/compbooks/
Author: James L. Noyes
Publisher: Jones & Bartlett Learning
ISBN: 9780669194739
Category : Computers
Languages : en
Pages : 644
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Book Description
[The book] provides a balanced survey of the fundamentals of artificial intelligence, emphasizing the relationship between symbolic and numeric processing. The text is structured around an innovative, interactive combination of LISP programming and AI; it uses the constructs of the programming language to help readers understand the array of artificial intelligence concepts presented. After an overview of the field of artificial intelligence, the text presents the fundamentals of LISP, explaining the language's features in more detail than any other AI text. Common Lisp is then used consistently, in both programming exercises and plentiful examples of actual AI code.- Back cover This text is intended to provide an introduction to both AI and LISp for those having a background in computer science and mathematics. -Pref.
Author: Ibrahim F. Imam
Publisher: Springer
ISBN: 3540487654
Category : Computers
Languages : en
Pages : 918
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Book Description
We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers’ problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research.
Author: Michael Scott
Publisher: Elsevier
ISBN: 0124104770
Category : Computers
Languages : en
Pages : 990
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Book Description
Programming Language Pragmatics, Fourth Edition, is the most comprehensive programming language textbook available today. It is distinguished and acclaimed for its integrated treatment of language design and implementation, with an emphasis on the fundamental tradeoffs that continue to drive software development.The book provides readers with a solid foundation in the syntax, semantics, and pragmatics of the full range of programming languages, from traditional languages like C to the latest in functional, scripting, and object-oriented programming. This fourth edition has been heavily revised throughout, with expanded coverage of type systems and functional programming, a unified treatment of polymorphism, highlights of the newest language standards, and examples featuring the ARM and x86 64-bit architectures. - Updated coverage of the latest developments in programming language design, including C & C++11, Java 8, C# 5, Scala, Go, Swift, Python 3, and HTML 5 - Updated treatment of functional programming, with extensive coverage of OCaml - New chapters devoted to type systems and composite types - Unified and updated treatment of polymorphism in all its forms - New examples featuring the ARM and x86 64-bit architectures
Author: Anirban Das
Publisher: Vikas Publishing House
ISBN: 9325975521
Category : Computers
Languages : en
Pages : 615
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Book Description
In older times, classic procedure-oriented programming was used to solve real-world problems by fitting them in a few, predetermined data types. However, with the advent of object-oriented programming, models could be created for real-life systems. With the concept gaining popularity, its field of research and application has also grown to become one of the major disciplines of software development. With Object-Oriented Programming with C++, the authors offer an in- depth view of this concept with the help of C++, right from its origin to real programming level. With a major thrust on control statements, structures and functions, pointers, polymorphism, inheritance and reusability, file and exception handling, and templates, this book is a resourceful cache of programs-bridging the gap between theory and application. To make the book student- friendly, the authors have supplemented difficult topics with illustrations and programs. Put forth in a lucid language and simple style to benefit all types of learner, Object-Oriented Programming with C++ is packaged with review questions for self-learning.
