Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.
人工智能中模糊邏輯算法
FuzzyLib 2.0 is a comprehensive C++ Fuzzy Logic library for constructing fuzzy logic systems with multi-controller support.
It supports all commonly used shape functions and hedges, with full support for the various types of Aggregation, Correlation, Alphacut, Composition, Defuzzification methods.
The latest version of the C++ Fuzzy Logic Class Library contains all the C++ source code and comes complete with a usage example for building a multi-controllers fuzzy logic model.
Welcome to PMOS. PMOS is a set of modules, mostly written in Modula-2,
to support multitasking. PMOS was designed primarily with real-time
applications in mind. It is not an operating system in the conventional
sense rather, it is a collection of modules which you can import
into your own programs, and which in particular allow you to write
multi-threaded programs.
A program to find frequent itemsets (also closed and maximal) with the eclat algorithm ,which carries out a depth first search on the subset lattice and determines the support of itemsets by intersecting transaction lists.
一個開源heml語意分析器
ekhtml: The El-Kabong HTML parser
SUMMARY:
El-Kabong: A speedy, yet forgiving, SAX-stylee HTML parser.
PROJECT INFORMATION:
Web Site: ekhtml.sourceforge.net
The web site contains links to locations where one can:
- file bugs
- join mailing lists
- download the latest release
- browse documentation
- get CVS information
BUILDING:
See the file INSTALL for information、目標代碼生成、符號表的構造和運行時存儲空間的組織等8部分組成。
by Randal L. Schwartz and Tom Phoenix
ISBN 0-596-00132-0
Third Edition, published July 2001.
(See the catalog page for this book.)
the text of Learning Perl, 3rd Edition.
Table of Contents
Copyright Page
Preface
Chapter 1: Introduction
Chapter 2: Scalar Data
Chapter 3: Lists and Arrays
Chapter 4: Subroutines
Chapter 5: Hashes
Chapter 6: I/O Basics
Chapter 7: Concepts of Regular Expressions
Chapter 8: More About Regular Expressions
Chapter 9: Using Regular Expressions
Chapter 10: More Control Structures
Chapter 11: Filehandles and File Tests
Chapter 12: Directory Operations
Chapter 13: Manipulating Files and Directories
Chapter 14: Process Management
Chapter 15: Strings and Sorting
Chapter 16: Simple Databases
Chapter 17: Some Advanced Perl Techniques
Appendix A: Exercise Answers
Appendix B: Beyond the Llama
Index
Colophon
by Randal L. Schwartz and Tom Phoenix
ISBN 0-596-00132-0
Third Edition, published July 2001.
(See the catalog page for this book.)
Learning Perl, 3rd Edition.
Table of Contents
Copyright Page
Preface
Chapter 1: Introduction
Chapter 2: Scalar Data
Chapter 3: Lists and Arrays
Chapter 4: Subroutines
Chapter 5: Hashes
Chapter 6: I/O Basics
Chapter 7: Concepts of Regular Expressions
Chapter 8: More About Regular Expressions
Chapter 9: Using Regular Expressions
Chapter 10: More Control Structures
Chapter 11: Filehandles and File Tests
Chapter 12: Directory Operations
Chapter 13: Manipulating Files and Directories
Chapter 14: Process Management
Chapter 15: Strings and Sorting
Chapter 16: Simple Databases
Chapter 17: Some Advanced Perl Techniques
Appendix A: Exercise Answers
Appendix B: Beyond the Llama
Index
Colophon
