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標(biāo)題: Titlebook: Advances of Soft Computing in Engineering; Zenon Waszczyszyn Book 20101st edition CISM Udine 2010 design.evolution.evolutionary algorithm. [打印本頁(yè)]

作者: Dopamine    時(shí)間: 2025-3-21 19:27
書目名稱Advances of Soft Computing in Engineering影響因子(影響力)




書目名稱Advances of Soft Computing in Engineering影響因子(影響力)學(xué)科排名




書目名稱Advances of Soft Computing in Engineering網(wǎng)絡(luò)公開度




書目名稱Advances of Soft Computing in Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances of Soft Computing in Engineering被引頻次




書目名稱Advances of Soft Computing in Engineering被引頻次學(xué)科排名




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書目名稱Advances of Soft Computing in Engineering年度引用學(xué)科排名




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書目名稱Advances of Soft Computing in Engineering讀者反饋學(xué)科排名





作者: 聯(lián)想記憶    時(shí)間: 2025-3-21 23:54

作者: 嚴(yán)厲批評(píng)    時(shí)間: 2025-3-22 01:12

作者: 寬敞    時(shí)間: 2025-3-22 08:03
Joanne Mulligan,Michael Mitchelmoretional cost. Earthquake- resistant design of structures using Probabilistic Safety Analysis (PSA) is an emerging field in structural engineering. The efficiency of soft computing methodologies is investigated when incorporated into the solution of computationally intensive earthquake engineering problems considering uncertainties.
作者: landmark    時(shí)間: 2025-3-22 10:01
Neural Networks: Some Successful Applications in Computational Mechanics,tional cost. Earthquake- resistant design of structures using Probabilistic Safety Analysis (PSA) is an emerging field in structural engineering. The efficiency of soft computing methodologies is investigated when incorporated into the solution of computationally intensive earthquake engineering problems considering uncertainties.
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作者: aphasia    時(shí)間: 2025-3-23 00:34
Walle J. H. Nauta,Sven O. E. Ebbessonection four introduces the basic concepts of topological search and explains how having the right form of representation is vital before looking at example relating to structural components and the design of domes using a genetic algorithm linked to computational geometry techniques. The final secti
作者: 過(guò)于平凡    時(shí)間: 2025-3-23 02:12
Jill Cheeseman,Christiane Benz,Yianna Pullenrobabilistic network S-BNN, true probabilistic T-BNN and Gaussian Process GP-BNN is discussed. Section 6 is devoted to the analysis of four study cases, related mostly to the analysis of structural engineering and material mechanics problems.
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Walle J. H. Nauta,Sven O. E. Ebbesson part looks at how genetic algorithms can be used to search for good topological solutions to engineering design challenges. The start of the chapter places genetic algorithms in context compared to other evolutionary algorithms and also describes the reasons why genetic algorithms are potentially u
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作者: Silent-Ischemia    時(shí)間: 2025-3-24 12:47
https://doi.org/10.1007/978-3-211-99768-0design; evolution; evolutionary algorithm; genetic algorithms; genetic programming; neural network; neural
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CISM International Centre for Mechanical Scienceshttp://image.papertrans.cn/a/image/150291.jpg
作者: 毗鄰    時(shí)間: 2025-3-25 03:28
Advances of Soft Computing in Engineering978-3-211-99768-0Series ISSN 0254-1971 Series E-ISSN 2309-3706
作者: Evolve    時(shí)間: 2025-3-25 10:45

作者: 調(diào)色板    時(shí)間: 2025-3-25 15:25
Walle J. H. Nauta,Sven O. E. EbbessonThis chapter is devoted to applications of biologically inspired methods as evolutionary algorithms and artificial immune systems to optimization and inverse problems, related to size, shape, topology and material optimization and defect identification of structures.
作者: accessory    時(shí)間: 2025-3-25 19:39

作者: Condyle    時(shí)間: 2025-3-25 21:10

作者: FLEET    時(shí)間: 2025-3-26 02:36
Applications of GA and GP to Industrial Design Optimization and Inverse Problems,e case of difficult design optimization problems in which either (or both) (.) response functions are computationally expensive as well as affected by numerical noise and (.) design variables are defined on a set of discrete variables.
作者: 不規(guī)則    時(shí)間: 2025-3-26 07:51

作者: Ledger    時(shí)間: 2025-3-26 11:41
Selected Problems of Artificial Neural Networks Development,n Neural Networks (BNNs). In Sections 2 and 3 the problems of regression analysis, over-fitting and regularization are discussed basing on two types of network, i.e. Feed-forward Layered Neural Network (FLNN) and Radial Basis Function NN (RBFN). Application of Principal Component Analysis (PCA) is d
作者: 到婚嫁年齡    時(shí)間: 2025-3-26 16:28
Neural Networks: Some Successful Applications in Computational Mechanics,eering. The incorporation of Neural Networks (NN) in this type of problems is crucial since it leads to substantial reduction of the excessive computational cost. Earthquake- resistant design of structures using Probabilistic Safety Analysis (PSA) is an emerging field in structural engineering. The
作者: 灰姑娘    時(shí)間: 2025-3-26 20:10
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