A Comparative Analysis of a Novel Anomaly Detection Algorithm with Neural Networks

Publisher： IGI Global_journal

E-ISSN： 2334-4601|4|4|1-16

ISSN： 2334-4598

Source： International Journal of Rough Sets and Data Analysis (IJRSDA), Vol.4, Iss.4, 2017-10, pp. : 1-16

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Novel Clonal Selection Algorithm for Community Detection in Complex Networks

By  

COMPUTATIONAL INTELLIGENCE, Vol. 31, Iss. 3, 2015-08 ,pp. : 442-464

John Wiley & Sons Inc

Access to resources Recommend Favorite

Imbalance detection and classification system based on wavelet analysis and artificial neural networks

By Gerasimov A.   Vasil’kov Yu.  

Automation and Remote Control, Vol. 74, Iss. 11, 2013-11 ,pp. : 1883-1889

MAIK Nauka/Interperiodica

Access to resources Recommend Favorite

Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection

By Samanta B.   Al-Balushi K.R.   Al-Araimi S.A.  

Engineering Applications of Artificial Intelligence, Vol. 16, Iss. 7, 2003-10 ,pp. : 657-665

Elsevier

Access to resources Recommend Favorite

Statistical anomaly detection via httpd data analysis

By Naiman D.Q.  

Computational Statistics and Data Analysis, Vol. 45, Iss. 1, 2004-02 ,pp. : 51-67

Elsevier

Access to resources Recommend Favorite

A Modified Backpropagation Training Algorithm for Feedforward Neural Networks*

By Kathirvalavakumar T.   Thangavel P.  

Neural Processing Letters, Vol. 23, Iss. 2, 2006-04 ,pp. : 111-119

Springer Publishing Company

Access to resources Recommend Favorite