1. Performance evaluation of the neural network diagnostic system for the re-emerging arboviral infection -dengue
Authors : A.shameemfathima, Dr.d.manimegalai
Pages : 162-167
DOI : http://dx.doi.org/10.21172/1.84.25
Keywords : Artificial Neural Networks; Levenberg-Marquardt Algorithm; Arboviral Classification; Multi Layer Perceptron Networks Abstract :The prevalence of emerging infectious diseases - Dengue and Chikungunya in humans has increased within the recent past and also are of great public health concern in India. This study aims to design and develop the neural network model that finds relationships and aims to classify arboviral infection amongst patients. It also investigates the effects of clinical manifestations and examines the performance of the four training algorithms of Levenberg-marquardt back propagation attempting to minimize error in classifying the patients as dengue positive or negative. The learning algorithm is applied on the proposed neural network model to minimize the error by continuously training the network until the optimum efficiency level is obtained.
Citing this Journal Article :A.shameemfathima, Dr.d.manimegalai, "Performance evaluation of the neural network diagnostic system for the re-emerging arboviral infection -dengue", Volume 8 Issue 4 - July 2017, 162-167
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