Mapping ocean sediments by RBF networks |
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| Authors: | Caiti A Parisini T |
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| Institution: | Dept. of Commun., Comput. & Syst. Sci., Genoa Univ.; |
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| Abstract: | Estimation of ocean-sediment properties by sparse noisy measurements using generalized Radial Basis Function networks is proposed. Given a set of scattered data points, an RBF network is able to generate a continuous smooth approximation for sediment properties as a function of the x-y-z position, where z is the sediment depth. Advantages and disadvantages of the method are discussed, from both a physical and a computational viewpoint. An example using sediment density data obtained by sparse core measurements and different configurations of RBF networks is presented |
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