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Isotropic module (GRNN_1). “One-page” user manual

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1. UNIL Universit de Lausanne Institut de g omatique et d analyse du risque Mikhail Kanevski Vadim Timonin General Regression Neural Network Isotropic module GRNN_1 One page user manual IGAR Research Report No GO1 2006 February 2006 Institute of Geomatics and Analysis of Risk IGAR University of Lausanne Amphipole CH 1015 Lausanne www unil ch igar Start GRNN_I Fy General Regression Neural Network Isotropic Feb 92006 B X Measured Data STATISTICS Min Interval Max a X Sigma Width X Y units y E Default z a dg About M Kanevski Y Timonin www Unil chil GAR UNIL Universit de Lausanne Institut de g omatique et d analyse du risque Step 1 Load dataset in Geo EAS or dBase format Step 2 Train a GRNN to get an optimal kernel parameter Step 3 Predict on a given grid network OR Test compare predictions with known data See details on the next last page Step 1 Load training dataset Number of points of the dataset is appeared in the Size field Select X Y and F columns if necessary Common statistics minimum maximum and interval for the selected columns will appear STATISTICS Hin Interval Har 76881 341 533 264652 x C x r 49372 693403 644031 Y oooO roy al 582 94 8 fi 53 Step 2 Select Train tab Train Run About Default From 7209 12 t
2. o 360456 Steps fio amp Define interval for Sigma Width parameter in X Y units and number of steps or set default ones with Default button Press Train button When the training will finish optimal parameter minimum of the cross validation curve will be set to the Sigma Width field Check Best to see this point on the graph Sigma Width X Y units 235376 1 2899 Default 0 0 100 000 0 200 000 0 300 000 0 Sigma Width Step 3 Select Run tab Train Run About Prediction for r EE Size f0 bl _ Pires wihe oN Load dataset for prediction or testing Number of points of the dataset is appeared in the Size field Select X Y columns if necessary For testing check Test with F and define F column Press Run button Define filename for result file with Save As dialog That s all For testing mode table with MSE RMSE and correlation coefficient Ro will appear

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