Design of Output Codes for Fast Covering Learning using Basic Decomposition Techniques | Science Publications

Journal of Computer Science

Narendra S. Chaudhari¹  Aruna Tiwari¹ 

关键词: Binary neural network;    One per class;    Error correcting output code;   

DOI  :  10.3844/jcssp.2006.565.571

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

We propose the design of output codes for solving the classification problem in Fast Covering Learning Algorithm (FCLA).For a complex multi-class problem normally the classifiers are constructed by combining the outputs ofseveral binary ones.In this paper, we use the basic methods of decomposition; one per class (OPC) and Error Correcting Output Code (ECOC) with FCLA, binary to binary mapping algorithm as a base binary learner.The methods have been tested on Fisher

【 授权许可】

Unknown