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The paper presents the methods of the computer experimental designs: factorial, rotatable, optimum designs and the designs for exploring response surfaces. In a séance these methods are virtue and defect. It also discusses the man-computer experimental designs for the decision making based on Bayesian method. It presents two methods for the estimations of these experiments with the utility function and based the perceptron algorithm of pattern recognition.
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Marta Isaeva (2020) studied this question.
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