© Propagation of cactus and agave made easy Complex error propagation is reduced to formula and data entry into a Mathcad worksheet or an Excel spreadsheet. The Mathcad routine uses both symbolic cal... D Species 被引量: 0发表: 0年 ...
propagating through a network of synchronized climate indices across the Northern Hemisphere during the 20thcentury. The signal was identified in both instrumental and proxy data sets. In this present study, we seek to detect this same low-frequency signal propagating hemispherically...
The experimental and simulation results are shown in Table 2, and the calculation formula for the error is |Calculated value−Test value|Test value×100%Calculated value-Test valueTest value×100%. Table 2. The test results of the propagation velocity of the excitation wave, the turbidity ...
Finally, the field performance of the sprayer equipped with the new controller was tested. The results show that the error rate of the AFSA-BP algorithm in training the FNN could be reduced to 3.9%, and compared with a passive suspension system, the T-S fuzzy controller improved the effects...
The error is then backpropagated to the network to update the weights(we shall go into the details of backpropagation in further sections) and the network is trained Let’s take a look of how we can calculate these states in Excel and get the output. ...
The resulting equation has the formula: 𝑟=𝐶·(𝑡2·𝐸𝜌)15r=C·t2·Eρ15 (8) where: C—based on small-scale measurements, C = 1033 represents the ratio between time and radius; ρ—ambient air density; r;t—measured data. ...
approach with the non-diagonalized SR matrix, an analytical process to derive the variance–covariance matrix of regression coefficients has been demonstrated only for particular cases wherein the correlation between variables does not disturb the derivation of the explicit variance–covariance formulae [...
The output layer weight O can be calculated using the following formula: O=𝐻+𝑇O=H+T, where 𝐻+H+ is the Moore–Penrose pseudo-inverse of the hidden layer output matrix H, and T is the class label matrix, with each row corresponding to the class label of a sample. (4) Predic...