Neural networks: algorithms, applications, and programming techniques

✍ Scribed by Freeman, James A.; Skapura, David M

• Publisher: Addison-Wesley
• Year: 1991
• Tongue: English
• Leaves: 414
• Series: Computation and neural systems series
• Category: Library

✦ Synopsis

Freeman and Skapura provide a practical introduction to artificial neural systems (ANS). The authors survey the most common neural-network architectures and show how neural networks can be used to solve actual scientific and engineering problems and describe methodologies for simulating neural-network architectures on traditional digital computing systems

✦ Table of Contents

Content: Preface. 1. Introduction. C++: An Evolving Language. Handling Complexity with Idioms. Objects for the Nineties. Design and Language. 2. Data Abstraction and Abstract Data Types. Classes. Object Inversion. Constructors and Destructors. Inline Functions. Initialization of Static Data Members. Static Member Functions. Scoping and const. Initialization Ordering of Global Objects, Constants, and Static Class Members. Enforcement of const for Class Object Member Functions. Pointers to Member Functions. Program Organization Conventions. 3. Concrete Data Types. The Orthodox Canonical Class Form. Scoping and Access Control. Overloading: Redefining the Semantics of Operators and Functions. Type Conversion. Reference Counting: Making Variables Use "Magic Memory." Operators new and delete. Separating Initialization from Instantiation. 4. Inheritance. Simple Inheritance. Scoping and Access Control. Constructors and Destructors. Class Pointer Conversion. Type Selector Fields. 5. Object-Oriented Programming. C++ Run-Time Type Support: Virtual Functions. Destructor Interaction and Virtual Destructors. Virtual Functions and Scoping. Pure Virtual Functions and Abstract Base Classes. Envelope and Letter Classes. Functors: Functions as Objects. Multiple Inheritance. The Inheritance Canonical Form. 6. Object-Oriented Design. Types and Classes. The Activities of Object-Oriented Design. Object-Oriented Analysis and Domain Analysis. Object and Class Relationships. Subtyping, Inheritance and Forwarding. Rules of Thumb for Subtyping, Inheritance, and Independence. 7. Reuse and Objects. All Analogies Break Down Somewhere. Design Reuse. Four Code Reuse Mechanisms. Parameterized Types, or Templates. Private Inheritance: Does Inheritance Support Reuse? Storage Reuse. Interface Reuse: Variants. Reuse, Inheritance, and Forwarding. Architectural Alternatives for Source Reuse. Generalizations on Reuse and Objects. 8. Programming with Exemplars in C++. An Example: Employee Exemplars. Exemplars and Generic Constructors: The Exemplar Community Idiom. Autonomous Generic Constructors. Abstract Base Exemplars. Toward a Frame Exemplar Idiom. A Word About Notation. Exemplars and Program Administration. 9. Emulating Symbolic Language Styles in C++. Incremental C++ Development. Symbolic Canonical Form. An Example: A General Collection Class. Code and Idioms To Support Incremental Loading. Garbage Collection. Primitive Type Encapsulation. Multi-Methods under the Symbolic Idiom. 10. Dynamic Multiple Inheritance. An Example: A Multi-Technology Window System. Caveats. 11. Systemic Issues. Static System Design. Dynamic System Design. Appendix A: C in a C++ Environment. Function Calls. Function Parameters. Function Prototypes. Call-by-Reference Parameters. Variable Number of Parameters. Function Pointers. The const Type Modifier. Interfacing with C Code. Appendix B: Shapes Program: C++ Code. Appendix C: Reference Return Values from Operators. Appendix D: Why Bitwise Copy Doesn't Work. Why Member-by-Member Copy Isn't a Panacea. Appendix E: Symbolic Shapes. Appendix F: Block-Structured Programming in C++. What is Block-Structured Programming? Basic Building Blocks for Structured C++ Programming. An Alternative for Blocks with Deeply Nested Scopes. Implementation Considerations Block-Structure Video Game Code. Index. 0201548550T04062001

✦ Subjects

Neural networks (Computer science);Computer algorithms.;algorithme.;architecture neuronale.;réseau neuronal.;Réseaux neuronaux (Informatique);Algorithmes.;Neurale netwerken.;Connexionnisme.;Ordinateurs neuronaux.;Réseaux d’ordinateurs.;Réseaux neuronaux (informatique);Intelligence artificielle.;Informatique;Mathématiques.;Artificial intelligence