Modified co-operative immune algorithm for solving classification problems

Waldemar Wójcik, Volodymyr I. Lytvynenko, Saule S. Smailova

2013

Closed access Metadata (CSL-JSON)
DOI 10.1117/12.2019710
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The way of the decision of a problem of classification by means of immune algorithm which is based on a principle of cooperation of antibodies of a population is offered. The formal description of structure of an antibody and ways of their association within the limits of a population in the computer network functioning as a unit is given. The way of an estimation of antibodies as elements of a network is considered. The basic phases of work of algorithm, such as are considered: growth of a network, a mutation of cells, compression of a network.