Please use this identifier to cite or link to this item: http://localhost:8081/jspui/handle/123456789/17461
Title: CODA WAVE ANALYSIS USING ARTIFICIAL NEURAL NETWORKS
Authors: Panwar, Akshay
Keywords: Artificial Neural Networks;Coda Waves Analyze;Layer Recurrent Neural Network;Testing Phase
Issue Date: May-2015
Publisher: IIT ROORKEE
Abstract: In this dissertation we propose the use of artificial neural networks in the analysis of coda waves. This approach significantly reduces the time and work in the analysis of coda waves compared to other methods of coda wave analysis. The comparison of various neural network learning algorithms as well as different activation functions is done. The layer recurrent neural network with Purelin activation function gives the minimum error in the testing phase and thus pro'es to be the best among the neural networks used to analyze the coda waves.
URI: http://localhost:8081/jspui/handle/123456789/17461
metadata.dc.type: Other
Appears in Collections:MASTERS' THESES (Earth Sci.)

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