Pattern Recognition Approaches inspired by Artificial Immune System
نویسندگان
چکیده
In this paper, we have presented a survey on Pattern Recognition technique using a new computational paradigm of Artificial Immune System. Inspired by the biological immune system, it aims to provide solutions for problems in a vast range of domains using novel computational tools. The main use of AIS in pattern recognition is in the field of data mining. The basic immune theories used to explain how the immune system performs pattern recognition are described and their corresponding computational models are presented. We also present a survey on the applications of AIS in various fields related to pattern recognition.
منابع مشابه
Semantic Preserving Data Reduction using Artificial Immune Systems
Artificial Immune Systems (AIS) can be defined as soft computing systems inspired by immune system of vertebrates. Immune system is an adaptive pattern recognition system. AIS have been used in pattern recognition, machine learning, optimization and clustering. Feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...
متن کاملAn Immune-Inspired Approach for Breast Cancer Classification
Many pattern recognition and machine learning methods have been used in cancer diagnosis. The Artificial Immune System (AIS) is a novel computational intelligence technique. Designed by the principles of the natural immune system, it is able of learning, memorize and perform pattern recognition. The AIS’s are used in various domains as intrusion detection, robotics, illnesses diagnostic, data m...
متن کاملPattern Recognition using Artificial Immune System
In this thesis, the uses of Artificial Immune Systems (AIS) in Machine learning is studded. the thesis focus on some of immune inspired algorithms such as clonal selection algorithm and artificial immune network. The effect of changing the algorithm parameter on its performance is studded. Then a new immune inspired algorithm for unsupervised classification is proposed. The new algorithm is bas...
متن کاملParallelizing an Immune-inspired Algorithm for Efficient Pattern Recognition
In recent years, there has been a growth of investigation into the use of the mammalian immune system as a source of inspiration and metaphor for computational tasks. One avenue of this investigation has been the exploration of the learning capabilities demonstrated by these biological systems. A second appealing aspect of biological immune systems is their inherent distributedness. This paper ...
متن کاملA Framework of Artificial Immune System in Writer Identification
Artificial Immune Systems (AIS) is an emerging computer science technique which is inspired from biological process and has a nonlinear classification property along with biological property such as Negative Selection (NS). AIS has been proved as one of the mechanism that has a good potential in solving complex problem such as pattern recognition. Meanwhile, handwritten writer identification is...
متن کامل