Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Powiadomienia systemowe

Sesja wygasła!
Sesja wygasła!
Sesja wygasła!

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: immune memory

Sortuj według:

Ogranicz wyniki do:

Reasoning by SVD and Morphotronic Network

Chaczko Z., Resconi G.

International Journal of Electronics and Telecommunications

2011

Vol. 57, No. 2

145-152

The immune system of the vertebrates possess the capabilities of “intelligent” information processing, which include memory, the ability to learn, to recognize, and to make decisions with respect to unknown situations. The mathematical formalization of these capabilities forms the basis of immune-computing (IC) as a new computing approach that replicates the principles of information processing by proteins and immune networks. This IC approach looks rather constructive as a basis for a new kind of computing. With the Morphotronic System or the analogous SVD we can create effective learning process and create immune memory by the projection operators. Given the immune memory is possible to recognize and compare antigen in a way to take defense action to eliminate the dangerous cell.

Function optimization by the immune metaphor

Wierzchoń S. T.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

2002

Vol. 6, No 3

493-508

The main goal of the immune system is to protect an organism against pathogens. To be able to recognize unknown (i.e. never seen) pathogens, the immune system applies a number of methods allowing to maintain sufficient diversity of its receptors. The most important methods are clonal selection and suppression of ineffective receptors. In effect the immune system admits maturation affinity property: during its functioning it continuously improves its ability to recognize new types of pathogens. This idea had found many interesting computer-oriented applications. In this paper a simple and easy to implement algorithm for multi-modal as well as non-stationary functions optimization is proposed. It is based on clonal selection and cells suppression mechanisms. Empirical results confirming its usability for uni-, multi-modal and non-stationary functions optimization are presented, and a review of other immunity-based approaches is given.