文章基本信息

标题：Medical Image Retrieval System Using an Improved Multilayer Perceptron
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作者：Mukkamula Avinash ; V.Siva Parvathi ; B.Srinivasa Rao 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：4
页码：299-302
语种：English
出版社：Ayushmaan Technologies
摘要：In this paper we proposes a neural network based software reliability model to call the cumulative number of failures based on Feed onward building. Depending in the guide the on supply software failured count data of the execution time is encoded using by Exponential and Logarithmic function in order to provide the converted value as the input to the neural network. The effect of architecture of the neural network in terms of hidden nodes has been study. The presentation of the aim draw near has been tested using eighteen software failure data sets. Numerical results shown that the proposing approach is giving acceptable results across different software projects. The comparison results show that the proposing model has a good prediction potentiality.
关键词：Medical Image Retrieval;Discrete Sine Transform;Information Gain;Neural Network;Multilayer Perceptron