Sentence examples for function on output from inspiring English sources

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The architecture of neural networks was obtained by IPS, which selects best type of neural network, best input vector, optimal number of hidden neurons, as well as the best type of activation function on output neuron based on minimal error for validation set.

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Since H. jecorina, as all other as yet analyzed fungi, only has one histidine phosphotransferase, this protein is likely to have a crucial regulatory function on several output pathways.

This competitive neural network effectively performs the softmax function on the output.

An experimentally-validated lumped-parameters model of the bi-stable harvester is also introduced, and solved using the method of multiple scales to study the influence of the shape of the potential energy function on the output voltage.

By comparison, the reverse engineering functions on innovation output mainly through indirect effect, which intensifies the role of forward engineering by providing the knowledge base for novel R&D activity.

We have assessed the predictive ability of the method using an elaborate stratified double cross‐validation procedure, involving the fitting of a sigmoid function on the raw output from SVM. Precision and recall values for each GO‐BP function were calculated, describing in detail the performance of the prediction.

Detailed discussions on the controller for a PWM-driven induction motor drive system, the system identification for the model transfer function, and the analysis on output responses and the associated manipulated variables are presented.

Fuzzification is responsible for the conversion of numerical input variable into linguistic input using input fuzzy membership functions, while defuzzification converts the fuzzy output to decisive value based on output membership functions and corresponding membership degrees.

For example, in water resources management problems, optimization problems regularly consist of objective functions and constraints that rely on output from a PDE-based simulator.

According to neoclassical economic theory, the concept of productivity is based on the production function, where output is a function of capital and labor input.

These neurons accept a set of input values, perform a weighted sum and then use a non-linear activation function whose output is passed on to the next layer.

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