A general structure for classification

Author

Sandberg, Irwin W.

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA

Volume

Issue

fYear

1993

fDate

4/1/1993 12:00:00 AM

Firstpage

288

Lastpage

289

Abstract

The problem of classifying signals is considered. Typically, a finite number m of pairwise disjoint sets C₁,. . .,C_m of signals is given, and the aim is to synthesize a system that maps the elements of each C_j into a real number a_j so that the numbers a₁,. . .,a_m are distinct. A structure that can perform this classification (for any prescribed distinct a₁,. . .,a_m), assuming only that the C_j are compact subsets of a real normed linear space, is presented

Keywords

pattern recognition; signal detection; classification; compact subsets; pairwise disjoint sets; real normed linear space; signals; Circuits; Feedforward neural networks; Neural networks; Rail to rail inputs; Signal synthesis; Sufficient conditions;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.224307

Filename

224307

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=925364