RClass*: A Prototype Rough-Set

Chia sẻ: Hai Hoang | Ngày: | Loại File: PDF | Số trang:21

lượt xem

RClass*: A Prototype Rough-Set

Mô tả tài liệu
  Download Vui lòng tải xuống để xem tài liệu đầy đủ

RClass*: A Prototype Rough-Set and Genetic Algorithms Enhanced Multi-Concept Classification System for Manufacturing Diagnosis 19.1 Introduction 19.2 Basic Notions 19.3 A Prototype Multi-Concept Classification System 19.4 Validation of RClass * 19.5 Application of RClass * to Manufacturing Diagnosis 19.6 Conclusions 19.1 Introduction Inductive learning or classification of objects from large-scale empirical data sets is an important research area in artificial intelligence (AI). In recent years, many techniques have been developed to perform inductive learning. Among them, the decision tree learning technique is the most popular. Using such a technique, Quinlan [1992] has successfully developed the Inductive Dichotomizer 3 (ID3), and its later versions C4.5 and C5.0 (See 5.0) in 1986, 1992, and...

Chủ đề:

Nội dung Text: RClass*: A Prototype Rough-Set

Đồng bộ tài khoản