Immune Network Theory

STLR: a novel danger theory based structural TLR algorithm

Artificial Immune Systems (AIS) have long been used in the field of computer security and especially in Intrusion Detection systems. Intrusion detection based on AISs falls into two main categories. The first generation of AIS is inspired from adaptive immune reactions but, the second one which is called danger theory focuses on both adaptive and innate reactions to build a more biologically-re...

Immune Network Theory Based Artificial Immune System and Its Application for Pattern Recognition

Natural immune system is a complex of cells, tissues and organs that work together to protect the host against foreign invaders' attacks. Immune network theory proposed by Jerne indicates that the immune system, even in the absence of foreign stimuli, must display an eigen-behavior resulting from cell-cell interactions within the immune system. In this paper, motivated by the natural immune pri...

Immune Network based Ensembles

This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial immune systems. Ensembles of classifiers are a very interesting alternative to single classifiers when facing difficult problems. In general, ensembles are able to achieve better performance in terms of learning and gener...

Cooperative network flow problem with pricing decisions and allocation of benefits: A game theory approach

Several real problems in telecommunication, transportation, and distribution industries can be well analyzed by network flow models. In revenue management, pricing plays a primary role which increases the profit generated from a limited supply of assets. Pricing decision directly affects the amount of service or product demand. Hence, in traditional maximum flow problem, we assume that the dema...

Identification Of Key Sectors For Iran, South Korea And Turkey Economies: A Network Theory Approach

Analysis of the enzyme network involved in cattle milk production using graph theory

Understanding cattle metabolism and its relationship with milk products is important in bovine breeding. A systemic view could lead to consequences that will result in a better understanding of existing concepts. Topological indices and quantitative characterizations mostly result from the application of graph theory on biological data. In the present work, the enzyme network involved in cattle...