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Predicting the Age of abalone Using Neural Networks

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dc.contributor.author Ya, Aalay
dc.date.accessioned 2019-07-12T04:28:13Z
dc.date.available 2019-07-12T04:28:13Z
dc.date.issued 2010-12-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/834
dc.description.abstract A neural network is an artificial representation of human brain that tries to simulate the learning process. The neural network is an array of interconnected processing elements, each of which can accept inputs, process them and produce single output. The input node describes the number of attributes and the output node describes the specification of category. The system provides the abalone (sea ear) datasets to implement the system. The system accepts the values of attributes which are used to determine rings of abalone. By adding 1.5 to resulted ring, the age of abalone is obtained. The system uses neural network to classify rings. en_US
dc.language.iso en en_US
dc.publisher Fifth Local Conference on Parallel and Soft Computing en_US
dc.title Predicting the Age of abalone Using Neural Networks en_US
dc.type Article en_US

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