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Titlebook: Advances of Soft Computing in Engineering; Zenon Waszczyszyn Book 20101st edition CISM Udine 2010 design.evolution.evolutionary algorithm.

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发表于 2025-3-21 19:27:25 | 显示全部楼层 |阅读模式
期刊全称Advances of Soft Computing in Engineering
影响因子2023Zenon Waszczyszyn
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学科分类CISM International Centre for Mechanical Sciences
图书封面Titlebook: Advances of Soft Computing in Engineering;  Zenon Waszczyszyn Book 20101st edition CISM Udine 2010 design.evolution.evolutionary algorithm.
影响因子.The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures. .
Pindex Book 20101st edition
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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.
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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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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
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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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