Bases for Rational Design of a Mineral Wool Product Curing Furnace on a Conveyor Horizontal Dryer

Matyukhina, A. V.; Matyukhin, V. I.; Yashmanova, N. V.

doi:10.1007/s11148-021-00573-w

Cited by 1 publication

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“…Representation, acquisition, organization, and retrieval of design knowledge are the main contents of knowledge reuse research. Firstly, the classification, representation, and storage of design knowledge are studied, and then, the reuse of design knowledge is realized according to the new design constraints [16]. e design knowledge reuse technology for integrated product rapid development is studied, and an integrated product development system scheme based on design knowledge reuse is proposed on the basis of in-depth research on key technologies such as design knowledge representation, management, and reuse [17].…”

Section: Related Workmentioning

confidence: 99%

Product Shape Design Scheme Evaluation Method Based on Spatial Data Mining

Wei¹

2022

Mathematical Problems in Engineering

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The stage of product modeling design implies a lot of complex tacit knowledge, which is the embodiment of the design concept centered on product modeling design and is also the hot spot and difficulty of modern design theory and method research. Aiming at the evaluation and decision of product modeling design scheme, a decision-making method of approaching ideal solution ranking based on grey relational analysis was proposed, which realized the convergence of tacit knowledge. The empty association rule is an important knowledge content of spatial data mining. A fuzzy genetic algorithm can solve the characteristics of random and nonlinear problems and solve the data mining problems of spatial association rules. The fuzzy genetic algorithm of discrete crossover probability and mutation probability is applied to data mining of spatial association rules in a spatial database, the coding method of the fuzzy genetic algorithm and the construction of fitness function are discussed, and the process of mining spatial association rules is given. The results show that the method of mining s association rules with the fuzzy genetic algorithm is feasible and has higher mining efficiency. This paper discusses the construction method of designing a decision support database based on linear regression and neural network and then proposes a decision method combining TOPSIS and grey relational analysis, which comprehensively considers the position and shape of the scheme data curve.

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Section: Related Workmentioning

confidence: 99%

Product Shape Design Scheme Evaluation Method Based on Spatial Data Mining

Wei¹

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

Bases for Rational Design of a Mineral Wool Product Curing Furnace on a Conveyor Horizontal Dryer

Cited by 1 publication

References 1 publication

Product Shape Design Scheme Evaluation Method Based on Spatial Data Mining

Product Shape Design Scheme Evaluation Method Based on Spatial Data Mining

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