南昌工程学院学报
南昌工程學院學報
남창공정학원학보
JOURNAL OF NANCHANG INSTITUTE OF TECHNOLOGY
2005年
1期
39-46
,共8页
神经网络%遗传算法%注塑%参数%优化
神經網絡%遺傳算法%註塑%參數%優化
신경망락%유전산법%주소%삼수%우화
Neural network%Genetic algorithm%injection molding%parameter%optimization
在以人工智能技术为基础的注塑工艺参数优化系统的开发方面进行了研究.构建了以混合神经网络与遗传算法方法为基础,并结合CAE技术的参数优化系统,编制了应用程序.通过工程实例,将参数优化系统的预测结果与CAE模拟结果进行比较和误差分析,显示出优化系统的稳定性和可靠性;优化结果与CAE模拟结果及实验验证的结果具有一致性.证明优化结果是正确的,表明基于混合神经网络与遗传算法方法的注塑工艺参数优化系统具有工程应用价值.
在以人工智能技術為基礎的註塑工藝參數優化繫統的開髮方麵進行瞭研究.構建瞭以混閤神經網絡與遺傳算法方法為基礎,併結閤CAE技術的參數優化繫統,編製瞭應用程序.通過工程實例,將參數優化繫統的預測結果與CAE模擬結果進行比較和誤差分析,顯示齣優化繫統的穩定性和可靠性;優化結果與CAE模擬結果及實驗驗證的結果具有一緻性.證明優化結果是正確的,錶明基于混閤神經網絡與遺傳算法方法的註塑工藝參數優化繫統具有工程應用價值.
재이인공지능기술위기출적주소공예삼수우화계통적개발방면진행료연구.구건료이혼합신경망락여유전산법방법위기출,병결합CAE기술적삼수우화계통,편제료응용정서.통과공정실례,장삼수우화계통적예측결과여CAE모의결과진행비교화오차분석,현시출우화계통적은정성화가고성;우화결과여CAE모의결과급실험험증적결과구유일치성.증명우화결과시정학적,표명기우혼합신경망락여유전산법방법적주소공예삼수우화계통구유공정응용개치.
In this paper, research has been done on development of optimization system for injection molding parameters on the basis of artificial intelligence. Based on hybrid neural network and genetic algorithm approach, a parameter optimization system is established and the application program is also developed. The comparison and error analysis are made between the optimization system predicted result and CAE simulated result through engineering examples, that shows the optimization system is stable and reliable. The optimized outcome, being consistent with CAE simulated one and experiment tested one, is proved to be correct, which indicates that the optimization system is valuable in engineering application.
