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where u r is the weight of output r, v i is the weight of input i, y rj is the value of output r from DMU j, and x ij is the value of input i from DMU j and where DMU0 is the DMU under study.
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In this time accounting activities turns back and weights of output layer is modifies, and this action continue back ward up to weights of network input and first hidden layer modify.
Open image in new window Fig. 5 The membership function for ranking the supplier Table 6 The linguistic weighting terms of output variables Description Assigned weights Weakly preferred (WP) (0, 0, 35, 35) Moderately preferred (MP) (30, 35, 65, 70) Extremely preferred (EP) (65, 70, 100, 100).
Every hour, total weight of faecal output, total weight of wet faeces, total number of faecal output, and number of wet faeces were recorded.
Depending on the model total weight of fecal output, total weight of wet feces, total number of fecal output, number of wet faeces, length of intestinal transit and intestinal weight were collected.
The outputs of a transition utilize tokens corresponding to the weight of the output arcs and happen concurrently [12].
The consequence of low speed is a longer piston stroke and greater cylinder bore, albeit with fewer cylinders; the net result is a heavier engine, with a specific weight (weight per unit of output) of about 40 kg (88 pounds) per kilowatt in contrast to a typical figure of 20 kg (44 pounds) per kilowatt for a medium-speed engine.
Here, μ A (x) represents the weight of the output membership function defined in Eqs. 1 and 2, x denotes the centroid of each output membership function, and center of gravity (COG) denotes the crisp value of the defuzzifier output [29, 30].
After the training, each weight of the output neurons out j is a real number between 0.0 and 1.0.
In a similar way, one defines the average embedding efficiency, where is the average weight of the output of for uniformly distributed inputs.
whereas u measures the weight of each output y j (j = 1,..., s), and v indicates the weight of each input x i (i = 1,..., m) The efficient frontier of the group (θ = 1) is constituted by the most efficient DMUs to which the efficiencies of the remaining DMUs are related to.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com