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基于神經(jīng)網(wǎng)絡(luò)和遺傳算法的車身骨架結(jié)構(gòu)優(yōu)化設(shè)計(jì)
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    摘要:

    在對(duì)客車車身骨架結(jié)構(gòu)進(jìn)行有限元靜、動(dòng)力分析的基礎(chǔ)上,,利用神經(jīng)網(wǎng)絡(luò)對(duì)有限元分析得出的樣本數(shù)據(jù)建立骨架結(jié)構(gòu)設(shè)計(jì)參數(shù)(輸入)與位移,、應(yīng)力及頻率(輸出)的全局性映射關(guān)系,,獲得遺傳算法求解結(jié)構(gòu)優(yōu)化問(wèn)題所需的目標(biāo)函數(shù)值,。最后,,用遺傳算法進(jìn)行了車身骨架結(jié)構(gòu)的優(yōu)化設(shè)計(jì),。結(jié)果表明,,基于神經(jīng)網(wǎng)絡(luò)和遺傳算法的優(yōu)化技術(shù)應(yīng)用在汽車結(jié)構(gòu)的優(yōu)化設(shè)計(jì)中是有效、合理的,。

    Abstract:

    With the development of optimal technology, optimal design of structure has been applied in the vehicle field. On the base of finite element method analysis on bus frame structure, a non-linear mapping function from multiple input data (design variables) to multiple output data (displacement, stresses and frequency calculated by FEM) was constructed within BP neural networks. It is necessary to obtain the objective function values in optimum design of structures by using genetic algorithms. Optimal design of structures was put forward by using genetic algorithms. The results showed that on the basis of ANN and GE, optimal technology applied in optimal design of bus structure was effective and reasonable.

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鄧江華,劉獻(xiàn)棟,馮國(guó)勝.基于神經(jīng)網(wǎng)絡(luò)和遺傳算法的車身骨架結(jié)構(gòu)優(yōu)化設(shè)計(jì)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2007,38(6):26-29.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(6):26-29.

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