Download Artificial Higher Order Neural Networks for Economics and by Ming Zhang PDF

By Ming Zhang

ISBN-10: 1599048973

ISBN-13: 9781599048970

ISBN-10: 1599048981

ISBN-13: 9781599048987

Synthetic larger Order Neural Networks (HONNs) considerably swap the examine method that's utilized in economics and company parts for nonlinear facts simulation and prediction. With the $64000 advances in HONNs, it turns into crucial to stay acquainted with its advantages and enhancements. man made larger Order Neural Networks for Economics and enterprise is the 1st publication to supply useful schooling and functions for the hundreds of thousands of pros operating in economics, accounting, finance and different company parts on HONNs and the benefit in their utilization to acquire extra exact software effects. This resource presents major, informative developments within the topic and introduces the techniques of HONN staff versions and adaptive HONNs.

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Additional resources for Artificial Higher Order Neural Networks for Economics and Business

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05E-06. Clearly, HONN model is more accurate than SAS NLIN. The Japanese vs. US dollar exchange rate data has been tested using different order. 7E-05 The yearly US Consumer Price Index 1992-2004 is shown in Table 6. The input Ct-2 uses Consumer Price Index data from November 1990 to October 2002. The input Ct-1 uses Consumer Price Index data from 1991 to November 2003. The desired output, Rt, is the Consumer Price Index from 1992 to December 2004. UCSHONN simulator with Model 0 and Order 5 has been used for simulating these data.

The learning algorithm of the first hidden layer weights will be based on the following formula. Appendix C presents more detailed derivation. Using the procedure displayed in Equation (11), we get Equation (12). HONN Learning Algorithm Step 1: Initialize all weights (coefficients) of the neurons (activation functions). Step 2: Input a sample from the data pool. Step 3: Calculate the actual outputs of all neurons using present values of weights (coefficients), according to equations (1), (2), and (3).

E. 0376218*sin(y), for testing HONN nonlinear models. The second reason is that these data are used as examples for the Nobel Prize in Economics in 2003 (Vetenskapsakademien, 2003). The test time will depend on the computer system used. 7 Computer Language: c Test time unit: second. HONN can choose the best Model in a Pool of HONN Nonlinear Models for Different Data The first question a user might ask is what model is the best nonlinear model for the data. Should a polynomial model or a trigonometric polynomial model be used for simulating data?

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Artificial Higher Order Neural Networks for Economics and Business by Ming Zhang


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