Results 1 - 10 of 970

Revisiting Negative Selection Algorithms

by Zhou Ji, Dipankar Dasgupta
"... This paper reviews the progress of negative selection algorithms, an anomaly/change detection approach in Artificial Immune Systems (AIS). Following its initial model, we try to identify the fundamental characteristics of this family of algorithms and summarize their diversities. There exist various ..."
Abstract - Cited by 14 (0 self) - Add to MetaCart
This paper reviews the progress of negative selection algorithms, an anomaly/change detection approach in Artificial Immune Systems (AIS). Following its initial model, we try to identify the fundamental characteristics of this family of algorithms and summarize their diversities. There exist

A Boundary-Aware Negative Selection Algorithm

by Zhou Ji, Key Words - In Proceedings of the 9th IASTED International conference on Artificial intelligence and soft computing (ASC’ 05 , 2005
"... Negative selection algorithms generate their detector sets based on the points of self data. In the approach described in this paper, the continuous self region is defined by the collection of self data. This has important differences from the negative selection algorithms that simply take each self ..."
Abstract - Cited by 12 (2 self) - Add to MetaCart
Negative selection algorithms generate their detector sets based on the points of self data. In the approach described in this paper, the continuous self region is defined by the collection of self data. This has important differences from the negative selection algorithms that simply take each

Applicability issues of the real-valued negative selection algorithms

by Zhou Ji, et al. - IN: PROCEEDINGS OF GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO), ACM PRESS , 2006
"... The paper examines various applicability issues of the negative selection algorithms (NSA). Recently, concerns were raised on the use of NSAs, especially those using real-valued representation. In this paper, we argued that many reported issues are either due to improper usage of the method or gener ..."
Abstract - Cited by 17 (3 self) - Add to MetaCart
The paper examines various applicability issues of the negative selection algorithms (NSA). Recently, concerns were raised on the use of NSAs, especially those using real-valued representation. In this paper, we argued that many reported issues are either due to improper usage of the method

Tool Breakage Detection in Milling Operations using a Negative-Selection Algorithm.

by Dipankar Dasgupta, Stephanie Forrest , 1995
"... Detection of tool breakage is very important for automated machining operations. This paper presents a negative-selection algorithm for tool breakage detection. The method is inspired by the defense mechanism of the immune system, which discriminates between self and non-self. Here self is defined t ..."
Abstract - Cited by 27 (8 self) - Add to MetaCart
Detection of tool breakage is very important for automated machining operations. This paper presents a negative-selection algorithm for tool breakage detection. The method is inspired by the defense mechanism of the immune system, which discriminates between self and non-self. Here self is defined

A Randomized Real-Valued Negative Selection Algorithm

by Fabio Gonzalez, Dipankar Dasgupta, Luis Fernando Niño, Luis Fern, O Niño - In Proceedings of Second International Conference on Artificial Immune System (ICARIS 2003 , 2003
"... This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it can produce a good estimate of the optimal number of detectors needed to cover the non-self space, and the maximizatio ..."
Abstract - Cited by 25 (2 self) - Add to MetaCart
This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it can produce a good estimate of the optimal number of detectors needed to cover the non-self space

A Cooperative Negative Selection Algorithm for Anomaly Detection

by Praneet Saurabh, Bhupendra Verma
"... Artificial Immune System (AIS) is a convoluted and complex arrangement derived from biological immune system (BIS). It possesses the abilities of self-adapting, self-learning and self-configuration. It has the basic function to distinguish self and non-self. Negative Selection Algorithm (NSA) over t ..."
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Artificial Immune System (AIS) is a convoluted and complex arrangement derived from biological immune system (BIS). It possesses the abilities of self-adapting, self-learning and self-configuration. It has the basic function to distinguish self and non-self. Negative Selection Algorithm (NSA) over

Augmented Negative Selection Algorithm with Variable-Coverage Detectors

by Zhou Ji, Dipankar Dasgupata
"... Abstract- An augmentation of negative selection algorithm is developed featuring detectors that have variable coverage. While the detectors can have different kinds of variable properties in the light of this concept, the paper mainly describes the experiments of variable-sized detectors in realvalu ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
Abstract- An augmentation of negative selection algorithm is developed featuring detectors that have variable coverage. While the detectors can have different kinds of variable properties in the light of this concept, the paper mainly describes the experiments of variable-sized detectors

AN EVALUATION OF NEGATIVE SELECTION ALGORITHM WITH CONSTRAINT-BASED DETECTORS

by Haiyu Hou
"... The Negative Selection Algorithm is an immunology-inspired algorithm for anomaly detection application. This algorithm has been implemented with different pattern representations and various matching rules and successfully applied to a broad range of problems. Recent research shows serious problems ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
The Negative Selection Algorithm is an immunology-inspired algorithm for anomaly detection application. This algorithm has been implemented with different pattern representations and various matching rules and successfully applied to a broad range of problems. Recent research shows serious problems

Negative Selection Algorithm for Aircraft Fault Detection

by D. Dasgupta, K. Krishnakumar, D. Wong, M. Berry - In Artificial Immune Systems: Proceedings of ICARIS 2004 , 2004
"... Abstract. We investigated a real-valued Negative Selection Algorithm (NSA) for fault detection in man-in-the-loop aircraft operation. The detection algorithm uses body-axes angular rate sensory data exhibiting the normal flight behavior patterns, to generate probabilistically a set of fault detector ..."
Abstract - Cited by 24 (3 self) - Add to MetaCart
Abstract. We investigated a real-valued Negative Selection Algorithm (NSA) for fault detection in man-in-the-loop aircraft operation. The detection algorithm uses body-axes angular rate sensory data exhibiting the normal flight behavior patterns, to generate probabilistically a set of fault

Estimating the detector coverage in a negative selection algorithm

by Zhou Ji - GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation , 2005
"... This paper proposes a statistical mechanism to analyze the detector coverage in a negative selection algorithm, namely a quantitative measurement of a detector set’s capability to detect nonself data. This novel method has the advantage of statistical confidence in the estimation of the actual cover ..."
Abstract - Cited by 14 (5 self) - Add to MetaCart
This paper proposes a statistical mechanism to analyze the detector coverage in a negative selection algorithm, namely a quantitative measurement of a detector set’s capability to detect nonself data. This novel method has the advantage of statistical confidence in the estimation of the actual
Results 1 - 10 of 970