نتایج جستجو برای: artificial immune
تعداد نتایج: 549694 فیلتر نتایج به سال:
This paper presents a resource limited artificial immune system for data analysis. The work presented here builds upon previous work on artificial immune systems for data analysis. A population control mechanism, inspired by the natural immune system, has been introduced to control population growth and allow termination of the learning algorithm. The new algorithm is presented, along with the ...
A number of works in the field of intrusion detection have been based on Artificial Immune System and Soft Computing. Artificial-Immune-System-based approaches attempt to leverage the adaptability, error tolerance, selfmonitoring and distributed nature of Human Immune Systems. The Soft-Computing-based approaches are instrumental in developing fuzzy-rule-based systems for detecting intrusions. T...
Artificial Immune technology, a resource limitedartificial immune classifier system,has performed well onelementary classification tasks. This paper presents oneform of mapping Artificial Immune Systems (AIS) intoLearning Classifier Systems for fault diagnosis. We proposea novel ideal to apply semantics in immune models. Similarto Learning Classifier Systems, a better un...
A number of works in the field of intrusion detection have been based on Artificial Immune System and Soft Computing. Artificial Immune System based approaches attempt to leverage the adaptability, error tolerance, selfmonitoring and distributed nature of Human Immune Systems. Whereas Soft Computing based approaches are instrumental in developing fuzzy rule based systems for detecting intrusion...
there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...
This chapter introduces a new computational intelligence paradigm to perform pattern recognition, named Artificial Immune Systems (AIS). AIS take inspiration from the immune system in order to build novel computational tools to solve problems in a vast range of domain areas. The basic immune theories used to explain how the immune system perform pattern recognition are described and their corre...
The acquired immune system provides a general pattern recognition and defence system that modifies itself, adapting to improve its capability with experience. This work elaborates upon and refines the definition of a previously proposed hieratical acquired immune system framework. Rather than trying to fit biological observations in providing a tool for theoretical immunology, the framework is ...
– Networked computing resources can be harnessed to provide medium and large–scale computational services. Most systems to harness such resources rely on allocation heuristics and policies to perform the mapping of tasks onto hosts. Such heuristics are typically statically designed and typically only the parameters that govern the heuristic can be adapted over time. This paper describes a novel...
This work deals the application of the artificial immune system to discriminate between healthy and people with Parkinson’s disease (PWP). As the symptoms of Parkinson’s disease (PD) occur gradually and mostly targeting the elderly people for whom physical visits to the clinic are inconvenient and costly, telemonitoring of the disease using measurements of dysphonia (vocal features) has a vital...
Artificial Immune Systems (AIS) have been proposed to solve binary classification problems; distinguishing between instances of self and of non-self. For any classification system such as AIS, the choice of classifier representation used impacts substantially on the kind of classification problem that can be handled. Despite this, most classication systems such as AIS make use of only one repre...
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