Journal ArticleDOI
The immune system, adaptation, and machine learning
TLDR
A dynamical model for the immune system is described that is based on the network hypothesis of Jerne, and is simple enough to simulate on a computer, and has a strong similarity to an approach to learning and artificial intelligence introduced by Holland, called the classifier system.About:
This article is published in Physica D: Nonlinear Phenomena.The article was published on 1986-10-01. It has received 1326 citations till now. The article focuses on the topics: Artificial immune system & Learning classifier system.read more
Citations
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Journal ArticleDOI
An artificial immune-memory model based on idiotypic immune networks: Perspectives on antibody dynamics
TL;DR: It explains the phenomena of associative memory and provides methods for control of vaccinations via tuning of suitable parameters and other issues with immune memory and cyclic idiotypic immune networks are also discussed.
Journal ArticleDOI
Unsupervised Classification and Recognition Using an Artificial Immune System Based on Manifold Distance: Unsupervised Classification and Recognition Using an Artificial Immune System Based on Manifold Distance
TL;DR: The experimental results show that the novel algorithm has the ability to identify complex non-convex clusters compared with the K-Means algorithm, a genetic algorithm-based clustering proposed by Maulik, and a evolutionary clustering algorithm with the manifold distance.
Email Spam Detection Generation Algorithm for Negative Selection Algorithm with Hamming Distance Partial Matching Rules
Ismaila Idris,Muhammad Abdulhamid,Abdulmalik Danlami Mohammed,Umar Dauda Suleiman,Nicholas Akosu,Niger State +5 more
TL;DR: In this paper, the significance of time and accuracy for two commonly used matching rules, hamming and r-chunk, for negative selection algorithms is studied. And the results show that the difference between the mean values of the two matching rules are insignificant for accuracy while it is significant for time.
Book ChapterDOI
Review of Modeling and Stimulating Human Immune Sysytem
TL;DR: Computational models and concept models are the main two approaches of modeling and simulating the human immune system and their advantages and disadvantages are discussed in order to inspire new ways of researching the intelligent behavior of it.
Book ChapterDOI
Aging in artificial learning systems
TL;DR: This work explains maturation and aging of standard non-linear single layer perceptron by increasing of components of the weight vector and dramatic decline of a gradient and gets saturation and an inverted letter "U" shape dependence between success in learning and the "age".
References
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Journal ArticleDOI
Somatic generation of antibody diversity
TL;DR: In the genome of a germ-line cell, the genetic information for an immunoglobulin polypeptide chain is contained in multiple gene segments scattered along a chromosome which are assembled by recombination which leads to the formation of a complete gene.
Book ChapterDOI
A mathematical model illustrating the theory of turbulence
TL;DR: In this article, the application of statistical analysis and statistical mechanics to the problem of turbulent fluid motion has attracted much attention in recent years, and the authors investigated a complicated system of nonlinear equations, in order to find out enough about the properties of the solutions of these equations that insight can be obtained into the various patterns exhibited by the field and that data can be derived concerning the relative frequencies of these patterns in the hope that in this way a basis may be found for the calculation of important values.