Read e-book online Applied Engineering Sciences PDF

By Wei (ed.)

ISBN-10: 0813908671

ISBN-13: 9780813908670

ISBN-10: 1138026492

ISBN-13: 9781138026490

ISBN-10: 1315762242

ISBN-13: 9781315762241

This lawsuits quantity comprises chosen papers offered on the 2014 AASRI foreign convention on utilized Engineering Sciences, held in Hollywood, l. a., united states. Contributions conceal the newest advancements and advances within the box of utilized Engineering Sciences.

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In this method, instead of training each network separately, a penalty term is introduced to minimize the correlation between the error of the network and the error of the rest of the ensemble. Given the training example set {xi , ti }ni=1 , the error function em for a network m is defined: In the above algorithm, weights and regularization of each network are evolved simultaneously and converged to the optimal solution, while the error function of the ensemble is minimized. After having achieved training NNE, the test data can be classified by the output of NNE, Oens .

1997). Since then, more proposals with improved characteristics based on the traditional sharpening have been presented, for example by Dolecek & Mitra (2005) and Zaimin et al. (2011). However, the traditional sharpening method was improved by Hartnett & Boudreaux (1995) (this method will be referred to here as improved sharpening). The first application of the improved sharpening technique to a comb decimator filter was recently introduced by Jimenez & Dolecek (2013). This approach was based on a two-stage comb decimator filter.

Furthermore, removing redundant noise data can also reduce the data dimensions to facilitate subsequent calculations. The PCA (Principal Component Analysis) (Abdi 2010) is a statistical analysis method of the principal contradiction of a grasp of things, and can parse out the main factors from diverse things to reveal the nature of things and simplify complex issues. Its goal is to find a new variable r (r < n, that is size of matrix) used to reflect the main features of things and compress the size of the original data matrix.

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Applied Engineering Sciences by Wei (ed.)


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