An Elman Model Based on GMDH Algorithm for Exchange Rate Forecasting
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Neural network structure is 5×100×1(input layer: 5 nodes, hidden layer: 100 nodes, output: 1 node).In the training process, 5 critical part measurements (chest 、 waist 、 shoulder
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The following chart shows the comparison of forecasting results and the actual value of the currency exchange rate 4 neurons in hidden layers.. Comparison of
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19% SIMILARITY INDEX 15% INTERNET SOURCES 17% PUBLICATIONS 1% STUDENT PAPERS Exclude quotes Off Exclude bibliography Off Exclude matches Off An Inflation Rate Prediction Based
