Abalone Age Prediction using Artificial Neural Network
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 5
Abstract
Abstract: Artificial Neural Networks are the intelligent computation systems that can be used to solve various challenging problems such as compression, optimization, classification, pattern recognition and prediction. In this paper, a feed forward multi layer perceptron (MLP) network is used to predict the age of abalone on the basis of various physical attributes. Levenberg-Marquardt back propagation training algorithm (trainlm) is used to train the neural network. The results of experiment show that by increasing the number of hidden layersof the MLP network, the calculated error rate keeps decreasing for each corresponding target value. Thus, the declining error rate indicates that MLP network with Levenberg-Marquardt based Backpropagation algorithm acts as best tool in predicting the age of abalone.
Authors and Affiliations
Khadija Jabeen , K. Ishthaq Ahamed
Keywords
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