artificial immune system


COMPUTER COURSE ONLINE

A beginners guide to artificial immune systems
FREE DOWNLOAD (PDF) 
J Timmis ,In Silico Immunology, 2007 ,Springer
Artificial Immune Systems (AIS) have recently emerged as a computational intelligence
approach that show great promise. Inspired by the complexity of the immune system,
computer scientists and engineers have created systems that in some way mimic or 

Surrogate-Assisted Artificial Immune Systems for Expensive Optimization Problems
FREE DOWNLOAD (PDF) 
HS Bernardino, LG Fonseca ,In practice, 2009 ,intechopen.com
When an animal is exposed to antigens an efficient immune response is developed in order
to defend the organism where specific antibodies are produced to combat them. The best
antibodies multiply (cloning) and are improved (hypermutation and replacement) while 

Artificial immune systems in drug design: Recognition of P-glycoprotein substrates with AIRS (artificial immune recognition system)
FREE DOWNLOAD (PDF) 
O Ivanciuc ,Internet Electronic Journal of Molecular Design, 2006 ,biochempress.com
Abstract Artificial immune systems (AIS) represent a new class of machine learning
procedures that simulate several mechanisms and functions of the biological immune
system, such as pattern recognition, learning, memory, and optimization. In this paper we 

A New Approach to Solve Flowshop Scheduling Problems by Artificial Immune Systems
FREE DOWNLOAD (PDF) 
O ENGIN ,Journal of the Dogus University, 2007 ,journal.dogus.edu.tr
ABSTRACT: The n-job, m-machine flow shop scheduling problem is one of the most general
job scheduling problems. This study deals with the criteria of makespan minimization for the
flow shop scheduling problem. Artificial Immune Systems (AIS) are new intelligent 

Alternative inspiration for artificial immune systems: Exploiting Cohen’s cognitive immune model
FREE DOWNLOAD (PDF) 
P Andrews ,In Silico Immunology, 2007 ,Springer
In this chapter, we highlight the idea that actively investigating alternative theories of the
immune system can identify new and novel inspiration for artificial immune systems (AIS). It
is clear that there is disagreement amongst immunologists concerning many mechanisms 

On artificial immune systems and swarm intelligence
FREE DOWNLOAD (PDF) 
J Timmis, P Andrews ,Swarm Intelligence, 2010 ,Springer
Abstract This position paper explores the nature and role of two bio-inspired paradigms,
namely Artificial Immune Systems (AIS) and Swarm Intelligence (SI). We argue that there are
many aspects of AIS that have direct parallels with SI and examine the role of AIS and SI 

A Performance Comparison of User and Access Point based Artificial Immune Systems for intrusion detection on a Wireless Local Area Network
FREE DOWNLOAD (PDF) 
E Akbal ,IJCSNS, 2007 ,paper.ijcsns.org
Summary Rapidly increasing wireless network systems and growing up of the mobile
applications is raised threatening component for the security. The firewalls, virus software
and protecting software is not capable to protect the network for a long time, because the 

Computer forensics system based on artificial immune systems
FREE DOWNLOAD (PDF) 
J Yang, T Li, S Liu, T Wang, D Wang ,Journal of Universal , 2007 ,jucs.org
Abstract: The current computer forensics approaches mainly focus on the network actions
capture and analysis the evidences after attacks, which always result in the static methods.
Inspired by the theory of artificial immune systems (AIS), a novel model of Computer 

Artificial Immune Systems for text-dependent speaker recognition
FREE DOWNLOAD (PDF) 
KM Faraoun ,Journal of Computer Science, 2006 ,dcc.ufla.br
Abstract. This paper shows the potential accomplishments of artificial immune systems (in
particular, the negative selection algorithm) application to the problem of speaker
recognition. Both the use of binary representation of original signal and that of its Fast 

Municipal creditworthiness modelling by artificial immune systems
FREE DOWNLOAD (PDF) 
L KOPÁCEK ,Acta Electrotechnica et Informatica, 2010 ,aei.tuke.sk
ABSTRACT Municipal creditworthiness represents a very important measure of financial
stability. Banks, supervisors, and other institutions rely upon ratings of creditworthiness to
produce representations of the risk, nevertheless rating agencies never disclose 

Tunable Detectors for Artificial Immune Systems: From Model to Algorithm
FREE DOWNLOAD (PDF) 
PS Andrews ,Bioinformatics for Immunomics, 2010 ,Springer
Artificial immune systems (AIS) are often developed directly from textual descriptions of
immune properties with little attempt to understand those properties free of an engineering
domain or application. Here, we present an example of how an AIS can be developed 

Extracting rules from neural networks using artificial immune systems
FREE DOWNLOAD (PDF) 
N Allahverdi ,Proc. 2nd Int. Conf. Problems of , 2008 ,pci2008.science.az
Neural Networks adjust their internal parameters performing vector mappings from the input
to the output space. Although they may achieve high accuracy of classification, the
knowledge acquired by such systems is represented in a large number of numerical 

Artificial immune systems in Bioinformatics
FREE DOWNLOAD (PDF) 
R Alves , in Biomedicine and , 2008 ,Springer
Artificial Immune Systems (AIS) represent one of the most recent and promising approaches
in the branch of bio-inspired techniques. Although this open field of research is still in its
infancy, several relevant results have been achieved by using the AIS paradigm in 

Artificial Immune Systems, Dynamic Fitness Landscapes, and the Change Detection Problem
FREE DOWNLOAD (PDF) 
H Richter ,cdn.intechopen.com
To let biological processes, behaviors and structures inspire the design of problem solving
algorithms and devices has been a prominent and persistent theme in engineering and
applied sciences in the last few decades. Within this context, bio–inspired computing has 

Accelerating Improvement of Fuzzy Rules Induction with Artificial Immune Systems
FREE DOWNLOAD (PDF) 
E MEZYK ,wseas.us
Abstract:-The paper introduces an algorithmic improvement to IFRAIS, an existing Artificial
Immune System method for fuzzy rule mining. The improvement presented consists of using
rule buffering during the computation of fitness of rules. This is achieved using a hash 

Novel approaches to classification problems by means of artificial immune systems
FREE DOWNLOAD (PDF) 
M Bereta ,ai-meth.polsl.pl
4. CONCLUSION This paper is a short introduction to the work concerning designing
classification algorithms based on paradigms of the immune system. Artificial immune
systems have much to offer due to their unique characteristics comparing to other 


CSE PROJECTS

FREE IEEE PAPER AND PROJECTS

FREE IEEE PAPER

IEEE PAPER UNITED STATES