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Unfortunately, these uncertainties are normally large enough to make the result of the calculation very dependent on starting assumptions about the value of input data.
The state space is defined as.
where the variable, X, is the net weighted input to the neuron, x i is the value of input i, w i is the weight of input i, n is the number of neuron inputs, and θ is the threshold applied to the neuron.
The weight of any input signal is calculated by the following equation: W_{i} = mathop sum limits_{j = 1}^{n} w_{ij} x_{j},where w ij is the corresponding load of connection between each neuron 'j' in input layer and each neuron 'i' at hidden layer and x j is the value of input signal 'j' at input layer (Çelekli et al. 2013).
where y is the output of the neurone, a is the activation function, n is the number of inputs to the neuron, w i is the weight of input i, x i is the value of input i, and b is the bias value.
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.
Similar(47)
(GVA is the value of the industry's output minus the value of inputs used to produce it, including state subsidies).
The value of inputs and outputs.
After identifying and measuring the relevant costs and benefits an SROI ratio can in theory be calculated as the total present value divided by the value of inputs which gives a ratio of £x value per £1 of investment.
Simulation optimization deals with finding the values of input parameters of a complex simulated system which result in desired output.
Ideally, testing and validation are performed by exhaustive combinations of the values of input variables.
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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